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References

Published online by Cambridge University Press:  10 February 2021

Nader C. Dutta
Affiliation:
Formerly of Schlumberger
Ran Bachrach
Affiliation:
Schlumberger
Tapan Mukerji
Affiliation:
Stanford University, California
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References

Aadnoy, B. S. and Larson, K., 1989, Method for fracture-gradient prediction for vertical and inclined boreholes, SPE Drill Eng, 4(2), 99103.Google Scholar
Aadnoy, B. S. and Looyeh, R., 2010, Petroleum Rock Mechanics: Drilling Operations and Well Design, Elsevier, Amsterdam.Google Scholar
Adachi, J. I., Nagy, Z. R., Sayers, C. M., Smith, M. F. and Becker, D. F., 2012, Drilling adjacent to salt bodies: Definition of mud weight window and pore pressure using numerical models and fast well planning tool, SPE-159739.CrossRefGoogle Scholar
Addis, M. A., 1997, The stress depletion response of reservoirs, SPE 38720.Google Scholar
Adisornsuapwat, K., Phuat tan, C., Anis, L., Vantala, A., Juman, R. and Boyce, B., 2013, Enhanced geomechanical modeling with advanced sonic processing to delineate and evaluate tight gas reservoirs, SPE Middle East Unconventional Gas Conference and Exhibition, Society of Petroleum Engineers, Muscat, Oman.Google Scholar
Ahmed, S., Khan, K., Omini, P. I., Aziz, A., Ahmed, M., Yadav, A. S. and Mohiuddin, M. A., 2014, An integrated drilling and geomechanics approach helps to successfully drill wells along the minimum horizontal stress direction in Khuff reservoirs, Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE.Google Scholar
Aki, K. and Lee, W. H. K., 1976, Determination of three-dimensional velocity anomalies under a seismic array using first P arrival times from local earthquakes 1. A homogeneous initial model, J Geophys Res, 81. doi:10.1029/JB081i023p04381.Google Scholar
Aki, K. and Richards, P. G., 1980, Quantitative Seismology: Theory and Methods, W. H. Freeman, San Francisco.Google Scholar
Alam, A. H. M. S. and Pilger, R. H., 1986, Subsurface temperature investigations using seismic and borehole temperature data, Vermilion and Lafourche Parish, Trans Gulf Coast Assoc Geol Soc, 5(XXXVI).Google Scholar
Alberty, M., Hafle, M. and Minge, J., 1997, Mechanisms of shallow water flows and drilling practices for intervention, Offshore Technology Conference.CrossRefGoogle Scholar
Al-Chalabi, M., 1994, Seismic velocity – a critique, First Break, 12, 589596.Google Scholar
Al-Chalabi, M., 1995, Seismic velocities – a critique, Int J Rock Mech Min Sci Geomech Abstr, 32(7), 330A–33.Google Scholar
Al-Chalabi, M. and Rosenkranz, P. L., 2002, Velocity-depth and time-depth relationships for a decompacted uplifted unit, Geophys Prospect, 50, 661664.Google Scholar
Aleardi, A. and Mazzotti, A., 2016, 1D full-waveform inversion and uncertainty estimation by means of a hybrid genetic algorithm – Gibbs sampler approach, Geophys Prospect. doi:10.1111/1365.2478.12397.Google Scholar
Aleotti, L., Poletto, F., Miranda, F., Corubolo, P., Abramo, F. and Craglietto, A., 1999, Seismic while-drilling technology: use and analysis of the drill-bit seismic source in a cross-hole survey. Geophys Prospect, 47, 2539.Google Scholar
Aldred, W., Plumb, D., Bedford, I., Cook, J., Gholkar, V., Cousins, L., Minton, R., Fuller, J., Goraya, S. and Tucker, D., 1999, Managing drilling risk, Oilfield Rev, 11, 119.Google Scholar
Ali, A. H. A., Brown, T., Delgado, R., Lee, D., Plumb, D., Smirnov, N., Marsden, R., Prado-Velarde, E., Ramsey, L., Spooner, D., Stone, T. and Stouffer, T., 2003, Watching rocks change – Mechanical earth modeling. Oilfield Rev, 15, 2239.Google Scholar
Ali, T. H., Sas, M., Hood, J. A., Lemke, S. R., Srinivasan, A., McKay, J., Fereday, K. S., Mondragon, C., Townsend, S. C., Edwards, S. T., Hernandez, M. and Reeves, M., 2008, High speed telemetry drill pipe network optimizes drilling dynamics and wellbore placement, paper 112636, SPE/IADC Drilling Conference.Google Scholar
Al-Kawai, W. H., 2018, The impact of the allochtonous salt and overpressure development on the petroleum system evolution in the Thunder Horse mini-basin, Gulf of Mexico, PhD dissertation, Stanford University.Google Scholar
Al-Kawai, W. H. and Mukerji, T., 2016, Integrating basin modeling with seismic technology and rock physics, Geophys Prospect, 64, 15561574.Google Scholar
Al-Khalifa, T. and Tsvankin, I., 1995, Velocity analysis for transversely isotropic media, Geophysics, 60, 15501566.Google Scholar
Al-Khalifa, T., Tsavankin, I., Larner, K. and Toldi, J., 1996, Velocity analysis and imaging in transversely isotropic media: methodology and a case study, Leading Edge, 15, 371378.Google Scholar
Al-Saeedi, M., Al-Mutairi, B., Al-Khaldy, M. and Sheeran, T., 2003, Fastest deep Marrat well in North Kuwait: case history of Raudhatain, SPE-85287.Google Scholar
Althaus, V. E., 1997, A new model for fracture gradient, J Can Pet Technol, 16(2), 99108.Google Scholar
Ameen, M. S., Smart, B. G. D., Somerville, J. M. C., Hamilton, S. and Naji, N. A., 2009, Predicting rock mechanical properties of carbonates from wireline logs (a case study: Arab-D reservoir, Ghawar field, Saudi Arabia), Mar Pet Geol, 26(4), 430444.Google Scholar
Anderson, B., Bryant, I., Luling, M., Spies, B. and Helbig, K., 1994, Oilfield anisotropy: its origins and electrical characteristics, Oilfield Rev. https://www.slb.com/~/media/Files/resources/oilfield_review/ors94/1094/p48_56.pdf.Google Scholar
Anderson, E. M., 1905, The dynamics of faulting, Trans Edin Geol Soc, 8, 387402.Google Scholar
Anderson, J. E., Al-Khalifa, T. and Tsavankin, I., 1996, Fowler DMO and time migration for transversely isotropic media. Geophysics, 61, 835844.Google Scholar
Anderson, R. A., Ingram, D. S. and Zanier, A. M., 1973, Determining fracture pressure gradients from well logs. J Pet Technol, 25(11), 12591268.Google Scholar
Anderson, T. L., 1991, Fracture Mechanics: Fundamentals and Applications, CRC Press, Boca Raton, FL.Google Scholar
Anstey, N. A. and Geyer, R. L., 1987, Borehole Velocity Measurements and the Synthetic Seismogram, IHRDC, Boston.Google Scholar
Aoyagi, K., Kazama, T., Sekiguchi, K. and Chilingarian, G. V., 1985, Experimental compaction of Na-montmorillonite clay mixed with crude oil and seawater, Water–Rock Interact, 49(1–3), 385392.Google Scholar
Aplin, A. C. and Larter, S. R., 2005, Fluid flow, pore pressure, wettability, and leakage in mudstone cap rocks, in: Boult, P. and Kaldi, J. (eds.), Evaluating Fault and Cap Rock Seals, Hedberg Series 2, AAPG, Tulsa, OK, pp. 112.Google Scholar
Aplin, A. C., Yang, Y. and Hansen, S., 1995, Assessment of the compression coefficient of mudstones and its relationship with detailed lithology, Mar Pet Geol, 12(8), 955963.Google Scholar
Aplin, A. C., Matenaar, I. F., McCarty, D. K. and van Der Pluijm, B., 2006, Influence of mechanical compaction and clay mineral diagenesis on the micro fabric and pore-scale properties of deep-water Gulf of Mexico mudstones, Clays Clay Min, 54(4), 500514.CrossRefGoogle Scholar
Araya-Polo, M., Jennings, J., Adler, A. and Dahlke, T., 2018, Deep-learning tomography,Leading Edge, 37(1), 5866.Google Scholar
Archie, G. E., 1942, The electrical resistivity log as an aid in determining some reservoir characteristics, Pet Trans AIME, 146, 5462.Google Scholar
Armstrong, P., Durand, C., Barany, I. and Butaud, T., 2004, Seismic measurements while drilling reduce uncertainty in the deepwater Gulf of Mexico, SEG Annual Meeting.Google Scholar
Arrhenius, S. A., 1889, Über die Dissociationswärme und den Einfluß der Temperatur auf den Dissociationsgrad der Elektrolyte.Google Scholar
Asef, M. R. and Farrokhrouz, M., 2010, Governing parameters for approximation of carbonates UCS, Electron J Geotechn Eng, 15, 15811592.Google Scholar
Assad, F. A., LaMoreaux, J. W. and Hughes, T., 2004, Field Methods for Field Geologists and Hydrogeologists, Springer, New York.Google Scholar
Atashbari, V., 2016, Origin of overpressure and pore pressure prediction in carbonate rocks in Abadan Plain Basin, PhD dissertation, Australian School of Petroleum, University of Adelaide.Google Scholar
Atashbari, V. and Tingay, M., 2012, Pore pressure prediction in a carbonate reservoir, SPE 150836.Athy, L. F., 1930a, Density, porosity, and compaction of sedimentary rocks. AAPG Bull, 14, 124.Google Scholar
Athy, L. F., 1930b, Compaction and oil migration, AAPG Bull, 14, 2535.Google Scholar
Atkinson, B. K., 1987, Fracture Mechanics of Rock, Academic Press, New York.Google Scholar
Audet, D. M. and Fowler, A. C., 1992, A mathematical model for compaction in sedimentary basins, Geophys J Int, 110, 577599.Google Scholar
Avasthi, J. M., Goodman, H. E. and Janson, R. P., 2000, Acquisition, calibration and use of the in-situ stress data for oil and gas well construction and production, SPE 60320.Google Scholar
Avseth, P. and Mukerji, T., 2002, Seismic lithofacies classification from well logs using statistical rock physics, Petrophysics, 43, 7081.Google Scholar
Avseth, P., Mukerji, T. and Mavko, G., 2005, Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk, Cambridge University Press, Cambridge.Google Scholar
Ayers, A. and Theilen, F., 1999, Relationship between P- and S-wave velocities and geological properties of near surface sediments of the continental slope of the Barents Sea, Geophys Prospect, 47, 431441.Google Scholar
Azadpour, M., Manaman, S., Kadkhodaire-Ilkhchi, A. and Sedghipour, M. R., 2015, Pore pressure gradient prediction and modeling using well logging data in one of the gas fields of South Iran, J Pet Sci Eng, 128, 1523.Google Scholar
Bachrach, R., 2010, Applications of deterministic and stochastic rock physics modeling to anisotropic velocity model building, SEG Annual Meeting, expanded abstracts.Google Scholar
Bachrach, R., 2011a, Elastic and resistive anisotropy of shale: Joint effective media modeling and field observations, SEG Annual Meeting, expanded abstracts.Google Scholar
Bachrach, R., 2011b, Elastic and resistivity anisotropy of shale during compaction and diagenesis: Joint effective medium modeling and field observations, Geophysics, 76, E175E186.Google Scholar
Bachrach, R., 2015, Uncertainty and non-uniqueness in linearized AVAZ for orthorhombic media, Leading Edge, 34(9), 10481056.Google Scholar
Bachrach, R., 2016, Mechanical compaction in heterogeneous clastic formations from plastic–poroelastic deformation principles: theory and applications, Geophys. Prospect, 65, 112.Google Scholar
Bachrach, R. and Paydayesh, M., 2017, Application of sequential and Kalman filters to seismic-geomechanics reservoir monitoring, SEG Annual Meeting, expanded abstracts.Google Scholar
Bachrach, R. and Sengupta, M., 2008, Using geomechanical modeling and wide-azimuth data to quantify stress effects and anisotropy near salt bodies in the Gulf of Mexico, SEG Annual Meeting, expanded abstracts. https://doi.org/10.1190/1.3054790.Google Scholar
Bachrach, R., Dvorkin, J. and Nur, A., 2000, Seismic velocities and Poisson’s ratio of shallow unconsolidated sands, Geophysics, 65, 559564.Google Scholar
Bachrach, R., Liu, Y., Woodward, M., Zradrova, O., Yang, Y. and Osypov, C., 2011, Anisotropic velocity model building using rock physics: comparison of compaction trends and check-shot-derived anisotropy in Gulf of Mexico, SEG Annual Meeting. https://doi.org/10.1190/1.3627619.Google Scholar
Bachrach, R., Sayers, C. M., Dasgupta, S., Silva, J. and Volterrani, S., 2013, Recent advances in the characterization of unconventional reservoirs with wide-azimuth seismic data, Unconventional Resources Technology Conference. doi:10.1190/urtec2013-030.Google Scholar
Bakulin, A., Zadraveva, O., Nichols, D., Woodward, M. and Osypov, K., 2009, Well-constrained anisotropic tomography, Annual Meeting of EAGE. doi:10.3997/2214-4609.201400387.Google Scholar
Bakulin, A., Woodward, M., Liu, Y., Zdraveva, O., Nichols, D. and Osypov, K., 2010a, Application of steering filters to localized anisotropic tomography with well data, SEG Annual Meeting, extended abstracts.Google Scholar
Bakulin, A., Woodward, M., Nichols, D., Osypov, K. and Zdraveva, O., 2010b, Localized anisotropic tomography with well information in VTI media, Geophysics, 75, D37D45.Google Scholar
Balch, A. H. and Lee, M. W., eds., 1984, Vertical Seismic Profiling – Technique, Applications, and Case Histories, IHRDC, Boston.Google Scholar
Baldwin, B., 1971, Ways of deciphering compacted sediments, J Sediment Petrol, 41(1), 293301.Google Scholar
Baldwin, B. and Butler, C. O., 1985, Compaction curves, AAPG Bull, 69, 622626.Google Scholar
Bandyopadhyay, K., 2009, Seismic anisotropy: geological causes and its implications to reservoir geophysics, PhD thesis, Stanford University.Google Scholar
Banik, N. C., Banik, A., Wool, G., Schultz, G., Dutta, N. C., Marple, R., Casper, T. and Repar, N., 2002, Application of anisotropy in pore pressure prediction, EAGE Annual Conference.Google Scholar
Banik, N. C., Wool, G., Schultz, G., den Boer, L. and Mao, W., 2003, Regional and high resolution 3D pore-pressure prediction in deep-water offshore West Africa, SEG Annual Meeting, expanded abstracts.Google Scholar
Banik, N., Koesoemadinata, A., Wagner, C., Inyang, C. and Bui, H., 2013, Predrill pore pressure prediction directly from seismically derived impedance, SEG Annual Meeting, expanded abstracts.Google Scholar
Barker, C., 1972, Aquathermal pressuring – role of temperature in development of abnormal pressure zones, AAPG Bull, 56, 20682071.Google Scholar
Barker, C., 1990, Calculated volume and pressure changes during the thermal cracking of oil to gas in reservoirs, AAPG Bull, 74, 12541261.Google Scholar
Barker, J. W. and Meeks, W. R., 2003, Estimating fracture gradient in Gulf of Mexico deepwater, shallow, massive salt sections, SPE Annual Technical Conference and Exhibition. doi:10.2118/84552-MS.Google Scholar
Barker, J. W. and Wood, T. D., 1997, Estimating shallow below mudline deepwater Gulf of Mexico fracture gradients, AADE Houston Chapter Annual Technical Meeting.Google Scholar
Barkved, O. L., 2012, Seismic Surveillance for Reservoir Delivery from a Practitioner’s Point of View, EAGE, Houten, The Netherlands.Google Scholar
Batzle, M. and Wang, Z., 1992, Seismic properties of pore fluids, Geophysics, 57, 13961408.Google Scholar
Bayer, U. and Wetzel, A., 1989, Compaction behavior of fine-grained sediments; examples from Deep Sea Drilling Project cores, Geol Rundschau, 78(3), 807819.Google Scholar
Bear, J., 1972, Dynamics of Fluids in Porous Media, Dover, Mineola, NY.Google Scholar
Bell, D. W., 2002, Velocity estimation for pore pressure prediction, AAPG Mem, 76, 217233.Google Scholar
Belloti, P. and Giacca, D., 1978, Seismic data can detect overpressures in deep drilling, Oil Gas J, 76, 4752.Google Scholar
Benfield, N., Rambaran, V., Dowlath, J., Sinclair, T., Evans, M., Richardson, J., Ratcliffe, A. and Irving, A., 2017, Extracting geologic information directly from high-resolution full-waveform inversion velocity models – a case study from offshore Trinidad, Leading Edge. https://doi.org/10.1190/tle36010067.1Google Scholar
Ben-Menahem, A. and Singh, S. J., 1981, Seismic Waves and Sources, Springer, New York.Google Scholar
Berard, T. and Prioul, R., 2016, Mechanical Earth model, Oil Field Rev.Google Scholar
Berg, R. R., 1975, Capillary pressure in stratigraphic traps, AAPG Bull, 59, 939956.Google Scholar
Berg, R. R. and Gangi, A. F., 1999, Primary migration by oil-generation microfracturing in low-permeability source rocks: application to the Austin chalk, Texas, AAPG Bull, 83, 727756.Google Scholar
Berryman, J. G., 1980, Long-wavelength propagation in composite elastic media, I and II, J Acoust Soc Am, 68, 18091831.Google Scholar
Beyer, L. A., 1987, Porosity of unconsolidated sand, diatomite, and fractured shale reservoirs, South Belridge and West Cat Canyon oil fields, California: Section IV. Exploration methods, AAPG Bull, 25, 395413.Google Scholar
Best, A. I., McCann, C. and Sothcott, J., 1994, The relationships between the velocities, attenuations and petrophysical properties of reservoir sedimentary rocks, Geophys. Prospect, 42, 151178.CrossRefGoogle Scholar
Bethke, C. M., 1989, Modeling subsurface flow in sedimentary basins, Geol Rundschau, 78(1), 129154.Google Scholar
Bhaduri, A., Dutta, N. C., Yang, S., Dai, J., Chandrasekhar, S., Sundaram, K. M., Dotiwala, F., Samanta, B. G., Visweswara Rao, C. and Kutty, P. S. N., 2012, A novel approach to improving well positioning and drilling confidence using seismic interpretation and quantitative studies on rock physics guided depth imaging and integrated pore pressure analysis: a case study from Andaman Sea fore-arc exploration, paper P-326, 9th Biennial International Conference and Exposition on Petroleum Geophysics, Hyderabad, India.Google Scholar
Bigelow, E. L., 1994, Well logging methods to detect abnormal pressure, in: Fertl, W. H., Chapman, R. E. and Hotz, R. F. (eds.), Studies in Abnormal Pressures, Developments in Petroleum Science 38, Elsevier, New York, pp. 187240.Google Scholar
Bilgeri, D. and Ademeno, E. B., 1982, Predicting abnormally pressured sedimentary rocks, Geophys Prospect, 30, 608621.Google Scholar
Biot, M. A., 1941, General theory of three‐dimensional consolidation, J Appl Phys, 12, 155164.Google Scholar
Biot, M. A., 1956, Theory of propagation of elastic waves in a fluid‐saturated porous solid. II. Higher frequency range. J Acoust Soc Am, 28, 179191.Google Scholar
Biot, M. A., 1962, Mechanics of deformation and acoustic propagation in porous media, J Appl Phys, 33, 14821498.CrossRefGoogle Scholar
Birchwood, R., Noeth, S., Tjengdrawira, M., Kisra, S., Elisabeth, F., Sayers, C., Singh, R., Hooyman, P., Plumb, R., Jones, E. and Bloys, J., 2007, Modeling the mechanical and phase change stability of wellbores drilled in gas hydrates by the Joint Industry Participation Program (JIP) Gas Hydrates Project, Phase II, SPE Annual Technical Conference.Google Scholar
Bishop, T. N., Bube, K. P., Cutler, R. T., Langan, R. T., Love, P. L., Resnick, J. R., Shuey, R. T., Spindler, D. A. and Wyld, H. W., 1985, Tomographic determination of velocity and depth in laterally varying media, Geophysics, 50, 903923.Google Scholar
Biswas, R., Sen, M., Das, V. and Mukerji, T., 2019, Prestack and poststack inversion using a physics-guided convolutional neural network, Interpretation, 7, SE161–SE174.Google Scholar
Bjørkum, P. A., Oelkers, E. H., Nadeau, P. H., Walderhaug, O, and Murphy, W. M., 1998, Porosity prediction in quartzose sandstones as a function of time, temperature, depth, stylolite frequency, and hydrocarbon saturation, AAPG Bull, 82, 637648.Google Scholar
Bjørlykke, K., 1998, Clay mineral diagenesis in sedimentary basins; a key to the prediction of rock properties; examples from the North Sea Basin, Clay Min, 33, 1534.Google Scholar
Bjørlykke, K., 1999, Principal aspects of compaction and fluid flow in mudstones, in: Aplin, A. C., Fleet, A. J. and Macquaker, J. H. S. (eds.), Muds and Mudstone: Physical and Fluid-Flow Properties, Geological Society, London, pp. 7378.Google Scholar
Bjørlykke, K., ed., 2005, Petroleum Geoscience: From Sedimentary Environments to Rock Physics, Springer, New York.Google Scholar
Bjørlykke, K., ed., 2015, Petroleum Geoscience – From Sedimentary Environments to Rock Physics, 2nd ed., Springer, New York.Google Scholar
Bjørlykke, K. and Høeg, K., 1997, Effects of burial diagenesis on stresses, compaction and fluid flow in sedimentary basins, Mar Pet Geol, 14, 267276.Google Scholar
Blakely, R. J., 1995, Potential Theory in Gravity and Magnetic Applications, Cambridge University Press, New York.Google Scholar
Blangy, J. P., 1992, Integrated seismic lithologic interpretation; the petrophysical basis, PhD thesis, Stanford University.Google Scholar
Boatmen, W. A., 1967, Measuring and using shale density to aid in drilling wells in high-pressure areas, J Pet Technol, November, 14231429.Google Scholar
Boles, J. R. and Franks, S. G., 1979, Clay diagenesis in Wilcox sandstones of Southwest Texas; implications of smectite diagenesis on sandstone cementation, J Sediment Res, 49, 5570.Google Scholar
Bortfeld, R., 1961, Approximation to the reflection and transmission coefficients of plane longitudinal and transverse waves, Geophys Prospect, 9, 485502.Google Scholar
Boswell, R., Collett, T., McConnell, D., Frye, M., Shedd, W., Godfriaux, P., Dufrene, R., Mrozewski, S., Guerin, G., Cook, A., Shelander, D., Dai, J. and Jones, E., 2009, Initial results of Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Logging-While-Drilling Operations, Annual GCSSEPM Perkins Conference.Google Scholar
Boult, P. J., 1993, Membrane seal and tertiary migration pathways in the Bodalla South oilfield, Eronmanga Basin, Australia, Mar Pet Geol, 10, 313.Google Scholar
Bourbie, T., Coussy, , o. and Zinszner, B., 1987, Acoustics of Porous Media, Gulf, Houston, TX.Google Scholar
Bourgoyne, A. T., 1971, A graphic approach to overpressure detection while drilling, Pet Eng, 43(9), 7678.Google Scholar
Bourgoyne, A. T. Jr., Millheim, K. K., Chenevert, M. E. and Young, F. S. Jr., 1991, Applied Drilling Engineering, SPE Textbook Series 2, Society of Petroleum Engineers, Houston, TX.Google Scholar
Bougher, B. B., 2016, Machine learning applications to geophysical data analysis, doctoral dissertation, University of British Columbia.Google Scholar
Bowers, G. L., 1994, Pore pressure estimation from velocity data: accounting for overpressure mechanisms besides undercompaction, SPE 27488.Google Scholar
Bowers, G. L., 1995, Pore pressure estimation from velocity data – accounting for overpressure mechanisms besides undercompaction, SPE Drilling and Completion.Google Scholar
Bowers, G. L., 2001, Determining an appropriate pore-pressure estimation strategy, paper 13042-MS, Offshore Technology Conference. http://dx.doi.org/10.4043/13042-MS.Google Scholar
Bowers, G. L., 2002, Detecting high overpressure, Leading Edge, 21, 174177.Google Scholar
Brace, W. F., Walsh, J. B. and Frangos, W. T., 1968, Permeability of granite under high pressure, J Geophys Res, 73, 22252236.Google Scholar
Bradford, I. D. R., Fuller, J., Thompson, P. J. and Walsgrove, T. R., 1988, Benefits of assessing the solids production risk in a North Sea Reservoir using elastoplastic modeling, SPE 47360.Google Scholar
Bradley, J. S., 1975, Abnormal formation pressure, Bull AAPG, 59, 957973.Google Scholar
Bradley, J. S. and Powley, D. E., 1994, Pressure compartments in sedimentary basins: a review, AAPG Mem, 61, 326.Google Scholar
Brandt, H., 1955, A study of the speed of sound in porous granular media, J Appl Mech, 22, 479486.Google Scholar
Bratton, T. and Bornemann, T., 1999, Logging-while-drilling images for geomechanical, geological and petrophysical images, SPWLA Annual Logging Symposium.Google Scholar
Breckels, I. M. and van Eekelen, H. A. M., 1982, Relationship between horizontal stress and depth in sedimentary basins, J Pet Technol, 34(9), 21912199.Google Scholar
Bredehoeft, J. D. and Hanshaw, B. B., 1968, On the maintenance of anomalous fluid pressures: I. Thick sedimentary sequences, Geol Soc Am Bull, 79, 10971106.Google Scholar
Bredehoeft, J. D., Wesley, J. B. and Fouche, T. D., 1994, Simulations of the Origin of Fluid Pressure, Fracture Generation, and the Movement of Fluids in the Uinta Basin, Utah: AAPG.Google Scholar
Brennan, B. J. and Stacey, F. D., 1978, Frequency dependence of elasticity of rock – test of velocity dispersion, Nature, 268, 220222.Google Scholar
Brevik, I., Callejon, A., Kahn, P., Janak, P. and Ebrom, D., 2011, Rock physicists step out of the well location, meet geophysicist and geologists to add value in exploration analysis, Leading Edge, 30, 13821391.Google Scholar
Brigaud, F., Chapman, D. S. and Douaran, S. L., 1990, Estimating thermal conductivity in sedimentary basins using lithologic data and geologic well logs, AAPG Bull, 74, 14591477.Google Scholar
Brittan, J., Bai, J., Delome, H., Wang, C. and Yingst, D., 2013, Full waveform inversion – the state-of-the-art, First Break, 31, 7581.Google Scholar
Brossier, R. and Virieux, J., 2011, Lecture notes on full waveform inversion, SEISCOPE Consortium, http://seiscope.oca.eu.Google Scholar
Brown, J. P., Fox, A., Sliz, K., Hanbal, I., Planchart, C., Davies, G. and McFarlane, M., 2015, Pre-drill and real-time pore pressure prediction: lessons from a sub-salt, deep water wildcat well, Red Sea, Society of Petroleum Engineers, https://doi.org/10.2118/172743-MS.Google Scholar
Brown, R. and Korringa, J., 1975, On the dependence of the elastic properties of a porous rock on the compressibility of pore fluid, Geophysics, 40, 608–616.Google Scholar
Bruce, B. and Bowers, G. L., 2002, Pore pressure terminology, Leading Edge, 21, 170173.CrossRefGoogle Scholar
Bruce, C. H., 1984, Smectite dehydration – its relation to structural development and hydrocarbon accumulation in Northern Gulf of Mexico basin, Am Assoc Pet Geol Bull, 68, 673683.Google Scholar
Burland, J. B., 1990, On the compressibility and shear strength of natural clays, Géotechnique, 40, 329378.Google Scholar
Burnham, A. K., 2017, Global Chemical Kinetics of Fossil Fuels: How to Model Maturation and Pyrolysis, Springer, New York.Google Scholar
Burst, J. F., 1969, Diagenesis of Gulf Coast clayey sediments and its possible relation to petroleum migration, Bull AAPG, 53, 7393.Google Scholar
Byrd, T. M., Schneider, J. M., Reynolds, D. J., Alberty, M. W. and Hafle, M. E., 1996, Identification of “flowing water sand” drilling hazards in the deepwater Gulf of Mexico, Offshore Technology Conference.Google Scholar
Caidado, C. C., Hobbs, R. W. and Goldstein, M., 2012, Bayesian strategies to assess uncertainty in velocity models, Bayesian Anal, 7, 211234.Google Scholar
Calderón-Macías, C., Sen, M. and Stoffa, P., 1998, Automatic NMO correction and velocity estimation by a feedforward neural network, Geophysics, 63, 16961707.Google Scholar
Campbell, J., 1997, Fast-track development: the evolving role of 3-D seismic data in deepwater hazards assessment and site investigation, Offshore Technology Conference.Google Scholar
Cappa, F. and Rutqvist, J., 2012, Modeling of coupled deformation and permeability evolution during fault reactivation induced by deep underground injection of CO2, Int J Green Gas Conserv, 5, 336346.Google Scholar
Carcione, J. M. and Helle, H. B., 2002, Rock physics of geopressure and prediction of abnormal pore fluid pressures using seismic data, Recorder Can Soc Explor Geophys, 27(7), 930.Google Scholar
Carman, P. C., 1937, Fluid flow through granular beds, Trans Inst Chem Eng London, 15, 150166.Google Scholar
Carmichael, R. C., 1988, Practical Handbook of Physical Properties of Rocks & Minerals, 1st ed., CRC Press, Boca Raton, FL.Google Scholar
Carver, R. E., 1968, Differential compaction as a cause of regional contemporaneous faults, Bull Am Assoc Pet Geol, 52, 414419.Google Scholar
Castagna, J. P., Batzle, M. L. and Eastwood, R. L., 1985, Relationship between compressional shear wave velocities in clastic silicate rocks, Geophysics, 50, 570581.Google Scholar
Castagna, J. P., Batzle, M. L. and Kan, T. K., 1993, Rock physics – the link between rock properties and AVO response, in: Castagna, J. P. and Backus, M. M. (eds.), Offset Dependent Reflectivity – Theory and Practice of AVO Analysis, Investigations in Geophysics 8, Society of Exploration Geophysicists, Tulsa, OK, pp. 135171.Google Scholar
Chang, C., Zoback, M. D. and Khaksar, A., 2006, Empirical relations between rock strength and physical properties in sedimentary rocks, J Pet Sci Eng, 51, 223237.Google Scholar
Chapman, R. E., 1994a, Abnormal pore pressures: Essential theory, possible causes, and sliding, in: Fertl, W. H., Chapman, R. E. and Hotz, R. F. (eds.), Studies in Abnormal Pressures, vol. 38, Elsevier, The Netherlands, pp. 51–91.Google Scholar
Chapman, R. E., 1994b, The geology of abnormal pore pressures, in: Fertl, W. H., Chapman, R. E. and Hotz, R. F. (eds.), Studies in Abnormal Pressures, vol. 38, Elsevier, The Netherlands, pp. 1949.Google Scholar
Cheng, A. H.-D., 2016, Poroelasticity, Springer, Berlin.Google Scholar
Cheng, C. H., Paillet, F. L. and Pennington, W. D., 1992, Acoustic waveform logging – Advances in theory and application, Log Anal 33, 239.Google Scholar
Chilingar, G. V. and Knight, L., 1960, Relationship between pressure and moisture content of kaolinite, illite, and montmorillonite clays, Am Assoc Pet Geol Bull, 44, 101106.Google Scholar
Chilingar, G. V., Serebryakov, V. A. and Robertson, J. O., 2002, Origin and Prediction of Abnormal Formation Pressures, Developments in Petroleum Science 50, Elsevier Science, Berlin.Google Scholar
Chiu, S. K. L. and Stewart, R. R., 1987, Tomographic determination of three-dimensional seismic velocity structure using well logs, vertical seismic profiles, and surface seismic data, Geophysics, 52, 10851098.Google Scholar
Chopra, S. and Huffman, A., 2006, Velocity determination for pore pressure prediction, Recorder Can Soc Explor Geophys, 31(4).Google Scholar
Chopra, S. and Kuhn, O., 2001, Seismic inversion, Recorder Can Soc Explor Geophys, 26(1), 1014.Google Scholar
Chuhan, F. A., Kjeldstad, A., Bjørlykke, K. and Hoeg, K., 2002, Porosity loss in sand by grain crushing; experimental evidence and relevance to reservoir quality, Mar Pet Geol, 19(1), 3953.CrossRefGoogle Scholar
Chuhan, F. A., Kjeldstad, A., Bjørlykke, K. and Hoeg, K., 2003, Experimental compression of loose sands; relevance to porosity reduction during burial in sedimentary basins, Can Geotech J, 40, 9951011.Google Scholar
Chukwu, G. A., 1991, The Niger Delta complex basin: Stratigraphy, structure and hydrocarbon potential, J Pet Geol, 14, 211220.Google Scholar
Clark, V. A., 1992, The effect of oil under in-situ conditions on the seismic properties of rocks, Geophysics, 57, 894901.Google Scholar
Clark, S. P. Jr., 1966, Thermal conductivity, AAPG Mem, 97, 459582.Google Scholar
Clayton, C. and Hay, S. J., 1994, Gas migration mechanisms from accumulation to surface, Bull. Geol. Soc. Denmark, 41, 1223.Google Scholar
Colmenares, L. B. and Zoback, M. D., 2002, A statistical evaluation of intact rock failure criteria constrained by polyaxial test data for five different rocks, Int J Rock Mech Min Sci, 39, 695729.Google Scholar
Colombo, D., Rovetta, D., Turkoglu, E., MacNeice, G. and Sandoval-Curriel, E., 2017, Multiscale hierarchical seismic – CSEM joint inversion for subsalt depth imaging in the Red Sea, Annual SEG Meeting, https://doi.org/10.1190/segam2017-17558705.1.Google Scholar
Combs, G. F., 1968, Prediction of pore pressure from penetration rate, SPE 2162.Google Scholar
Connolly, P., 1999, Elastic impedance, Leading Edge, 18, 438452.Google Scholar
Constant, W. D. and Bourgoyne, A. T., 1988, Fracture-gradient prediction for offshore wells, SPE Drill Eng, 3, 136140.Google Scholar
Coussy, O, 2004, Poromechanics, 2nd ed., Wiley, Hoboken, NJ.Google Scholar
Cowland, A. P., 1996, Drill site geohazard identification facilitated by rework of suitable existing 3-D seismic data volumes, Offshore Technology Conference.Google Scholar
Crampin, S., 1981, A review of wave motion in anisotropic and cracked elastic-media, Wave Motion, 3, 343–391.Google Scholar
Cumberland, D. J. and Crawford, R. J., 1987, The Packing of Particles, Elsevier, The Netherlands.Google Scholar
Curtis, J., 2015, Drilling uncertainty prediction technical section (DUPTS), 45th General Meeting of ISCWSA.Google Scholar
Dahl, B. and Yukler, A., 1991, The role of petroleum geochemistry in basin modeling of the Oseberg area, North Sea, in: Merrill, R. K. (ed.), Source and Migration Processes and Evaluation Techniques, AAPG, Tulsa, OK, pp. 237251.Google Scholar
Dai, J., Xu, H., Snyder, F. and Dutta, N., 2004, Detection and estimation of gas hydrates using rock physics and seismic inversion: Examples from the northern deepwater Gulf of Mexico, Leading Edge, 23, 6066.Google Scholar
Dai, J., Snyder, F., Gillespie, D., Koesoemadinata, A. and Dutta, N., 2008a, Exploration for gas hydrates in the deepwater Northern Gulf of Mexico: Part I. A seismic approach based on geologic model, Mar Pet Geol, 25, 830844.Google Scholar
Dai, J., Banik, N., Gillespie, D. and Dutta, N., 2008b, Exploration for gas hydrates in the deepwater northern Gulf of Mexico: Part II. Model validation by drilling, Mar Pet Geol, 25, 845859.Google Scholar
Daines, S. R., 1982a, Aquathermal pressuring and geopressure evaluation, AAPG Bull, 66, 931939.Google Scholar
Daines, S. R., 1982b, The prediction of fracture pressures for wildcat wells, J Pet Technol, 34, 863872.Google Scholar
Darcy, H., 1856, Les Fontaines Publiques de la Ville de Dijon, Dalmont, Paris.Google Scholar
Das, V. and Mukerji, T., 2019, Petrophysical properties prediction from pre-stack seismic data using convolutional neural networks, SEG Annual Meeting, expanded abstracts.Google Scholar
Das, V., Pollack, A., Wollner, U. and Mukerji, T., 2019, Convolutional neural network for seismic impedance inversion, Geophysics, 84, R869R880.Google Scholar
De Gennaro, V., 2012, Solutions for 3D coupled geomechanical and HF modelling in UG reservoirs, 4th EAGE Conference and Exhibition, Workshops.Google Scholar
DeMartini, D. C., Beard, D. C., Danburg, J. S. and Robinson, J. H., 1976, Variations of seismic velocities in sandstones and limestones with lithology and pore fluid at simulated in situ conditions, EGPC Exploration Seminar.Google Scholar
Deming, D., Sass, J. H. and Lachenbruch, A. H., 1996, Heat flow and subsurface temperature, North Slope of Alaska, US Geol Surv Bull, 2142, 2144.Google Scholar
Deo, B., Ramani, K., Dutta, N., Dai, J. and Peng, C., 2014, Rock physics guided velocity modeling and reverse-time migration for subsalt pore pressure prediction: Study in Green Canyon, deep water Gulf of Mexico, International Geophysical Conference and Exposition.Google Scholar
Deo, B., Jenning, C., Afi, M., Sedeek, M., Shelander, D., Ramani, K., Hussein, H., Tarek, N., Dutta, N. C., Srivastava, R., Singh, T., Pradhan, B. K. and Kumar, R., 2016, Integrated workflow for shallow hazard detection using imaging, inversion, pore-pressure prediction, and interpretation on 3d seismic data, SEG Annual Meeting, extended abstracts.Google Scholar
De Prisco, G., Thanoon, D., Bachrach, R., Brevik, I., Clark, S. A., Corver, M. P., Pepper, R. E., Hantschel, T., Helgesen, H. K., Osypov, K. and Leirfall, O. K., 2015, Geophysical basin modeling: Effective stress, temperature, and pore pressure uncertainty, Interpretation, 3, SZ27–SZ39.Google Scholar
de Kok, R., Dutta, N., Khan, M. and Mallick, S., 2001, Deepwater geohazard analysis using prestack inversion, SEG International Annual Meeting, extended abstracts.Google Scholar
De Stefano, M., Andreas, F. G., Re, S., Virgillo, M. and Snyder, F., 2011, Multiple domain simultaneous joint inversion of geophysical data with application to subsalt imaging, Geophysics, 76, R69R80.Google Scholar
Dickey, P. A., Shriram, C. R. and Paine, W. R., 1968, Abnormal pressures in deep wells of southwestern Louisiana, Science, 160, 608615.Google Scholar
Dickinson, G., 1951, Geological aspects of abnormal pressures in the Gulf Coast Region of Louisiana, USA, World Petroleum Congress.Google Scholar
Dickinson, G., 1953, Geological aspects of abnormal reservoir pressures in Gulf Coast region of Louisiana, USA, Bull AAPG, 37, 410432.Google Scholar
Digby, P. J., 1981, The effective elastic moduli of porous granular rocks, ASME J Appl Mech, 48, 803808.Google Scholar
Dix, C. H., 1955, Seismic velocities from surface measurements, Geophysics, 20, 68–66.Google Scholar
Domenico, S. N., 1977, Elastic properties of unconsolidated porous sand reservoirs, Geophysics, 42, 13391368.Google Scholar
Dow, W. G., 1984, Oil source beds and oil prospect definition in the Upper Tertiary of the Gulf Coast, Gulf Coast Assoc Geol Soc Trans, 34, 329339.Google Scholar
Dowdle, W. L. and Cobb, W. M., 1975, Static formation temperature from well logs – an empirical method, J Pet Technol, 27, 13261330.Google Scholar
Doyen, P. M., Malinverno, A., Prioul, R., den Boer, L. D., Psaila, D., Sayers, C. M., Noeth, S., Hooyman, P., Smit, T. J. H., van Eden, C. and Wervelman, R., 2003, Seismic pore-pressure prediction with uncertainty using a probabilistic mechanical Earth model, SEG Annual Meeting, expanded abstracts.Google Scholar
Drucker, D. C. and Prager, W., 1958, Soil mechanics and plastic analysis for limit design, Q Appl Math, 10, 157165.Google Scholar
Duffaut, K. K., Hokstad, R. K. and Wiik, T., 2018, A simple relationship between thermal conductivity and seismic interval velocity, Leading Edge, 37, 381385.Google Scholar
Duijndam, A. J. W., 1988, Bayesian estimation in seismic inversion, Part I: Principles, Geophys Prospect, 36, 878898.Google Scholar
Durmishyan, A. G., 1974, Compaction of argillaceous rocks, Int Geol Rev, 16, 650653.Google Scholar
Dutta, N. C., 1984, Shale compaction and abnormal pore-pressures; a model of geopressures in the Gulf Coast Basin, Geophysics, 49, 660.Google Scholar
Dutta, N .C., 1986, Shale compaction, burial diagenesis, and geopressures: a dynamic model, solution, and some results in thermal modeling in sedimentary basins, in: Burrus, J (ed.), Thermal Modeling in Sedimentary Basins, Technip, Paris, pp. 149172.Google Scholar
Dutta, N. C., 1987a, Geopressure, SEG Geophysics Reprint Series 7, SEG, Tulsa, OK.Google Scholar
Dutta, N. C., 1987b, Fluid flow in low permeable media, in: Migration of Hydrocarbons in Sedimentary Basins, Technip, Paris, pp. 567595.Google Scholar
Dutta, N. C., 1997a, A brief review of recent technologies used for geopressure evaluation and an attempt to develop a unified model, BP Exploration Report HO97.0004, Western Hemisphere.Google Scholar
Dutta, N. C., 1997b, Pressure prediction from seismic data: Implications for seal distribution and hydrocarbon exploration and exploitation in the deepwater Gulf of Mexico, in: Moller-Pedersen, P. and Koestler, A. G. (eds.), Hydrocarbon Seals: Importance for Exploration and Production, Norwegian Petroleum Society Special Publication 7, Elsevier, Singapore, pp. 187–199.Google Scholar
Dutta, N. C., 2002a, Deepwater geohazard prediction using prestack inversion of large offset P-wave data and rock model, Leading Edge, 21(2), 193198.Google Scholar
Dutta, N. C., 2002b, Geopressure prediction using seismic data: Current status and the road ahead, Geophysics, 67, 20122041.Google Scholar
Dutta, N. C., 2015, Velocity modeling and pore pressure imaging using tomography, rock physics and burial diagenesis of shale, Society of Petroleum Geophysicists Annual Meeting. Jaipur, India, June,Google Scholar
Dutta, N. C., 2016, Effect of chemical diagenesis on pore pressure in argillaceous sediment, special issue, Leading Edge, 35, 523527.Google Scholar
Dutta, N. and Dai, J., 2009, Exploration for gas hydrates in a marine environment using seismic inversion and rock physics principles, Leading Edge, 28, 792802.Google Scholar
Dutta, N. C. and Khazanehdari, J., 2006, Estimation of formation fluid pressure using high-resolution velocity from inversion of seismic data and a rock physics model based on compaction and burial diagenesis of shales, Leading Edge, 25, 15281539.Google Scholar
Dutta, N. and Mallick, S., 2010, Method for shallow water flow detection, US Patent 7,672,824.Google Scholar
Dutta, N. C. and Ode, H., 1979, Attenuation and dispersion of compressional waves in fluid-filled porous rocks with partial gas saturation (White model) – Part I; Biot theory; Part II: Results, Geophysics, 44, 17771805.Google Scholar
Dutta, N. C., Kahn, M. and Gelinsky, S. G., 2001, Seismic predrill pore pressure imaging using a deepwater rock model, EAGE Annual Meeting, extended abstracts.Google Scholar
Dutta, N. C., Zimmer, M. and Prasad, M., 2002a, Rock physics based overpressure detection, technical abstract, AAPG Annual Meeting.Google Scholar
Dutta, N. C., Boreland, W. H., Leaney, W. S., Meehan, R. and Nutt, W. L., 2002b, Pore pressure prediction ahead of the bit: An integrated approach, AAPG Mem, 76, 165169.Google Scholar
Dutta, N., Mukerji, T., Prasad, M. and Dvorkin, J., 2002c, Seismic detection and estimation of overpressure Part I: The rock physics basis, Recorder Can Soc Explor Geophys, 27(7), 2957.Google Scholar
Dutta, N., Mukerji, T., Prasad, M. and Dvorkin, J., 2002d, Seismic detection and estimation of overpressure, Part II: Field applications, Recorder Can Soc Explor Geophys, 27(7), 5873.Google Scholar
Dutta, N., Utech, R., Nafie, T. and Bedingfield, J., 2002e, Geohazard detection in deepwater clastics basin: Seismic technique with application to deepwater Mediterranean, AAPG Annual Meeting, Cairo.Google Scholar
Dutta, N. C., Utech, R. W. and Shelander, D., 2010, Role of 3D seismic for shallow hazards assessment in deepwater sediments, Leading Edge, 29, 930942.Google Scholar
Dutta, N. C., Dai, J., Yang, S., Duan, L., Ramirez, A., Bachrach, R. and Mukherjee, A., 2011, Methods and devices for transformation of collected data for improved visualization capability, US Patent 13,179,461.Google Scholar
Dutta, N. C., Yang, S., Dai, J., Bhaduri, A., Chandrasekhar, D., Firoze, D. and Rao, C. V., 2012, Seismic guided drilling: A new technology for look-around and look-ahead of the bit prediction during drilling, paper IPA12-G-018, Indonesian Petroleum Association Annual Convention and Exhibition.Google Scholar
Dutta, N. C., Yang, S., Dai, J., Chandrasekhar, S., Dotiwala, F. and Rao, C. V., 2014, Earth model building using rock physics and geology for depth imaging, Leading Edge, 33, 11361152.Google Scholar
Dutta, N., Deo, B., Liu, Y. K., Krishna, R., Kapoor, J. and Vigh, D., 2015a, Pore-pressure-constrained, rock-physics-guided velocity model building method: Alternate solution to mitigate subsalt geohazard, Interpretation, 3, SE1–SE11.Google Scholar
Dutta, N. C., Yang, S., Liu, Y., Lawrence, C. and Cue, J., 2015b, Rock physics guided velocity modeling and reverse-time migration for pore pressure prediction and depth imaging in complex areas, paper IPA15-G-008, Indonesian Petroleum Association Annual Convention and Exhibition.Google Scholar
Dvorkin, J. and Mavko, G., 2006, Modeling attenuation in reservoir and non-reservoir rocks, Leading Edge, 25, 194197.Google Scholar
Dvorkin, J. and Nur, A., 1996, Elasticity of high-porosity sandstones: Theory for two North Sea datasets, Geophysics, 61, 13631370.Google Scholar
Dvorkin, J., Mavko, G. and Nur, A., 1991, The effect of cementation on the elastic properties of granular material, Mech Mater, 12, 207217.Google Scholar
Dvorkin, J., Nur, A. and Yin, H., 1994, Effective properties of cemented granular material, Mech Mater, 18, 351366.Google Scholar
Dvorkin, J., Mavko, G. and Nur, A., 1999a, Overpressure detection from compressional- and shear-wave data, Geophys Res Lett, 26, 34173420.Google Scholar
Dvorkin, J., Moos, D., Packwood, J. and Nur, A., 1999b, Identifying patchy saturation from well logs, Geophysics, 64, 17561759.Google Scholar
Dzevanshir, R. D., Buryakovsky, L. A. and Chilingarian, G. V., 1986, Simple quantitative evaluation of porosity of argillaceous sediments at various depths of burial, Sediment Geol, 46(3–4), 169175.Google Scholar
Eaton, B. A., 1969, Fracture gradient prediction and its application in oilfield operations, J Pet Technol, 21(10), 2532.Google Scholar
Eaton, B. A., 1972, The effect of overburden stress on geopressures prediction from well logs, J Pet Technol, 747, 929934.Google Scholar
Eaton, B. A., 1975, The equation for geopressure prediction from well logs, SPE paper 5544.Google Scholar
Eaton, B. A., 1976, Graphical method predicts geopressure worldwide, World Oil, 182, 5156.Google Scholar
Eaton, B. A., 1970, How to drill offshore with maximum control, World Oil, 171, 7377.Google Scholar
Eaton, B. A. and Eaton, T. L., 1997, Fracture gradient prediction for the new generation, World Oil, 218, 93100.Google Scholar
Eaton, L. F., 1999, Drilling through deepwater shallow-water flow zones at Ursa, 1999, paper SPE/IADC 52780, SPE/IADC Drilling Conference.Eberhart‐Phillips, D., Han, D.-H. and Zoback, M. D., 1989, Empirical relationships among seismic velocity, effective pressure, porosity, and clay content in sandstone, Geophysics, 54(1), 8289.Google Scholar
Eberl, D. and Hower, J., 1976, Kinetics of illite formation, Bull Geol Soc Am, 87, 13261330.Google Scholar
Ebrom, D., Heppard, P., Mueller, M. and Thomsen, L., 2003, Pore-pressure prediction from S-wave, C-wave, and P-wave velocities, SEG Annual Meeting.Google Scholar
Eissa, A. and Kazi, A., 1988, Relation between static and dynamic Young’s moduli of rocks, Int J Rock Mech Min Sci Geomech Abstr, 25, 479482.Google Scholar
Elliot, S. E. and Wiley, B. F., 1975, Compressional velocities of partially saturated, unconsolidated sands, Geophysics, 40, 949954.Google Scholar
Ellis, D. V. and Singer, J. M., 2008, Well Logging for Earth Scientists, 2nd ed., Springer, Berlin.Google Scholar
Engelhardt, W. V. and Gaida, K. H., 1963, Concentration changes of pore solutions during the compaction of clay sediments, J Sediment Petrol, 33, 919930.Google Scholar
Esmersoy, C., Ramirez, A., Teebeny, S., Yangjun, L., Shih, S., Sayers, C., Hawthorn, A. and Nessim, M., 2013, A new, fully integrated method for seismic geohazard prediction ahead of the bit while drilling, Leading Edge, 32, 12221233.Google Scholar
Fan, Z. Q., Jin, Z.-H. and Johnson, S. E., 2010, Subcritical propagation of an oil-filled penny-shaped crack during kerogen–oil conversion, Geophys J Int, 182, 11411147.Google Scholar
Fan, Z. Q., Jin, Z.-H. and Johnson, S. E., 2012, Modelling petroleum migration through microcrack propagation in transversely isotropic source rocks, Geophys J Int, 190, 179187.Google Scholar
Fatti, J. L., Smith, G. C., Vail, P. J., Strauss, P. J. and Levitt, P. R., 1994, Detection of gas in sandstone reservoirs using AVO analysis: A 3D seismic case history using the Geostack technique, Geophysics, 59, 13621376.Google Scholar
Fertl, D. H. and Timko, D. J., 1971, Parameters for identification of overpressured Formations, paper SPE 3223, Society of Petroleum Engineers 5th Conference on Drilling and Rock Mechanics.Google Scholar
Fertl, D. H., Chilingar, G. V. and Robertson, J. O., 2002, Drilling parameters, in: Chilingar, G. V., Serebryakov, V. A. and Robertson, J. O., (eds.), Origin and Prediction of Abnormal Formation Pressures, Developments in Petroleum Science 50, Elsevier, New York, pp. 151167.Google Scholar
Fertl, W. H., 1976, Abnormal Formation Pressures, Developments in Petroleum Science 2, Elsevier, Amsterdam.Google Scholar
Fertl, W. H., Chapman, R. E. and Hotz, R. F., 1994, Studies in Abnormal Pressure, Elsevier, Forbes.Google Scholar
Fjaer, E., Holt, R. M., Horsrud, P., Raaen, A. M. and Risnes, R, 2008, Stresses around boreholes: Borehole failure criteria, in: Petroleum Related Rock Mechanics, 2nd ed., Elsevier, Amsterdam, pp. 146148.Google Scholar
Fomel, S. and Grechka, V., 2001, Weak Anisotropy Approximation for VTI media, report CWP-372, Center for Wave Phenomena, Colorado School of Mines.Google Scholar
Foster, J. R. and Whalen, H. E., 1966, Estimation of formation pressure from electrical surveys – offshore, Louisiana, J Pet Technol, 18, 165171.Google Scholar
Foster, W. R., 1981, The smectite–illite transformation: Its role in generating and maintaining geopressure, Annual Meeting of the Geological Society of America.Google Scholar
Foster, W. R. and Custard, H. C., 1980, Smectite–illite transformation role in generating and maintaining geopressure, abstract, AAPG Bull, 64, 708.Google Scholar
Fossum, A. F. and Fredrich, J. T., 2002, Salt mechanics primer for near-salt and sub-salt deepwater Gulf of Mexico field developments, Sandia National Laboratory Report SAND2002-2063.Google Scholar
Fowler, W. A., 1970, Pressure, hydrocarbon accumulation and salinities – Chocolate Bayou field, Brazoria County, Texas, J Pet Technol, 22, 411432.Google Scholar
Fredrich, J. T., Engler, B. P., Smith, J. A., Onyia, E. C. and Tolman, D. N., 2007, Predrill estimation of subsalt fracture gradient: Analysis of the Spa prospect to validate nonlinear finite element stress analyses, SPE/IADC Drilling Conference.Google Scholar
Freed, R. L., 1979, Shale mineralogy of the No. 1 Pleasant Bayou Geothermal Test Well: A progress report, Fourth Geopressure and Geothermal Energy Conference.Google Scholar
Freed, R. L., 1981, Shale mineralogy and burial diagenesis of Frio and Vicksburg Formations in two geopressured wells, McAllen Ranch Area, Hidalgo County, Texas, Trans Gulf Coast Assoc Geol Soc, 31, 289293.Google Scholar
Fuck, R. F., Bakulin, A. and Tsvankin, I., 2009, Theory of traveltime shifts around compacting reservoirs: 3D solutions for heterogeneous anisotropic media, Geophysics, 74, D25D36.Google Scholar
Furlow, W., 1998, Shallow water flows: How they develop; what to do about them, Offshore, September, 70.Google Scholar
Gabitto, J. and Tsouris, C, 2010, Physical properties of gas hydrates: A review, J Thermodyn, Article 271291.Google Scholar
Gabrysch, R. K., 1967, Development of ground water in Houston District, Texas, 1961–65, Texas Water Development Board Report 63.Google Scholar
Garcia, A. and MacBeth, C., 2013, An estimation method for effective stress changes in a reservoir from 4D seismic data, Geophys Prospect, 61, 803816.Google Scholar
Gardner, G. H F., Gardner, L. W. and Gregory, A. R., 1974, Formation velocity and density – The diagnostic basics for stratigraphic traps, Geophysics, 39, 770780.Google Scholar
Gassmann, F., 1951, Elasticity of porous media: Uber die elastiziat poroser medien, Vierteljahrsschr Naturforsch Gesellschaft, 96, 123.Google Scholar
Gautam, S., Dai, J., Rosa-Perez, N., De, L. and Jalbert, A., 2017, Rock physics based velocity modeling for reducing subsalt velocity uncertainty, SEG International Exposition.Google Scholar
Gjøystdal, H. and Ursin, B., 1981, Inversion of reflection times in three dimensions, Geophysics, 46, 972983.Google Scholar
Glezen, W. H. and Lerche, I., 1985, A model of regional fluid flow: Sand concentration factors and effective lateral and vertical permeabilities, Math Geol, 17, 297315.Google Scholar
Golubev, A. A. and Robinovich, G. Y., 1976, Resultaty primeneia appartury akusticeskogo karotasa dlja predeleina proconstych svoistv gormych porod na mestorosdeniaach tverdych isjopaemych, Prikl Geofiz Moskova, 73, 109116.Google Scholar
Goodman, R. E., 1989, Introduction to Rock Mechanics, Wiley, New York.Google Scholar
Goulty, N. R., 1998, Relationship between porosity and effective stress in shales, First Break, 16, 413419.Google Scholar
Goulty, N. R., 2004, Mechanical compaction behavior of natural clays and implications for pore pressure estimation, Pet Geosci, 10, 7379.Google Scholar
Goulty, N. R, Sargent, C., Andras, P. and Aplin, A. C., 2016, Compaction of diagenetically altered mudstone – Part 1: Mechanical and chemical contributions, Mar Pet Geol, 77, 703713.Google Scholar
Grauls, D., Dunand, J. P. and Beaufort, D., 1995, Predicting abnormal pressure from 2-D seismic velocity modeling, OTC Conference.Google Scholar
Green, S., O’Connor, S. A. and Edwards, A. P., 2016, Predicting pore pressure in carbonates: A review, search and discovery, paper 41830 (2016), Middle East Geosciences Conference and Exhibition.Google Scholar
Greenberg, J., 2008, Seismic while drilling keeps bit turning to right while acquiring key real-time data, Drilling Contractor, March, 4445.Google Scholar
Gregory, A. R., 1977, Aspects of rock mechanics from laboratory and log data that are important to seismic interpretation, AAPG Mem, 26, 1546.Google Scholar
Gretener, P. E., 1969, Pore pressure: Fundamentals, general ramifications and implications for structural geology, Continuing Education Course Note Series 4, AAPG.Google Scholar
Gretener, P. E., 1981, Pore Pressure: Fundamentals, General Ramifications and Implications for Structural Geology, Suppl. 1979, Course Note, AAPG, Tulsa, OK.Google Scholar
Griffith, A. A., 1920, The phenomena of rupture and flow in solids, Philos Trans R Soc London, Ser A, 221, 163198.Google Scholar
Gueguen, Y. and Palciauskas, V., 1994, Introduction to the Physics of Porous Media, Princeton University Press, Princeton, NJ.Google Scholar
Haidary, S. A., Shehri, H. A., Abdulraheem, A., Ahmed, M. and Alqam, M. H., 2015, Wellbore stability analysis for trouble free drilling, SPE Kuwait Oil and Gas Show and Conference.Google Scholar
Haimson, B. C. and Fairhurst, C., 1967, Initiation and extension of hydraulic fractures in rocks, SPE J, 7(3), 310318.Google Scholar
Hale, D., 2011, Structure-oriented smoothing and semblance, CWP 635, Center for Wave Phenomena, Colorado School of Mines.Google Scholar
Hall, P. L., 1993, Mechanisms of overpressuring – an overview, in: Manning, D. A. C., Hall, P. I. and Hughes, C. R. (eds.), Geochemistry of Clay-Pore Fluid Interactions, Chapman and Hall, London, pp. 265315.Google Scholar
Ham, H. H., 1966, New charts help estimate formation pressures, Oil Gas J, 65(51), 5863.Google Scholar
Hamilton, E. L., 1971a, Elastic properties of marine sediments, J Geophys Res, 76, 579604.Google Scholar
Hamilton, E. L., 1971b, Prediction of in situ acoustic and elastic properties of marine sediments, Geophysics, 36, 266284.Google Scholar
Hamilton, E. L., 1976a, Shear-wave velocity versus depth in marine sediments: A review, Geophysics, 41, 985996.Google Scholar
Hamilton, E. L., 1976b, Variations of density and porosity with depth in deep-sea sediments, J Sediment Petrol, 46, 280300.Google Scholar
Hampshire, K. and MacGregor, A., 2017, Pore pressure prediction while drilling: 3D Earth model in the Gulf of Mexico, AAPG Bull, online first, doi:10.1306/0605171619617050.Google Scholar
Han, D.-H., 1986, Effects of porosity and clay content on acoustic properties of sandstones and unconsolidated sediments, PhD thesis, Stanford University.Google Scholar
Han, D.-H., Nur, A. and Morqan, D., 1986, Effects of porosity and clay content on wave velocities in sandstone, Geophysics, 51, 20932107.Google Scholar
Hansen, S., 1996, A compaction trend for Cretaceous and tertiary shales on the Norwegian shelf based on sonic transit times, Pet Geosci, 2, 159166.Google Scholar
Hansom, J. and Lee, M., 2005, Effects of hydrocarbon generation, basal heat flow and sediment compaction on overpressure development: A numerical study, Pet Geosci, 11, 353360.Google Scholar
Hantschel, T. A. and Kauerauf, A., 2009, Fundamentals of Basin Modeling, Springer, Berlin.Google Scholar
Hardage, B. A., 1985, Vertical Seismic Profiling, Part A: Principles, 2nd ed., Pergamon, Oxford.Google Scholar
Hardage, B. A., 1992, Crosswell Seismology and Reverse VSP, Geophysical Press, London.Google Scholar
Hardage, B. A., 1994, Seismic prediction of overpressure conditions ahead of the bit in real drill time, in: Fertl, W. H., Chapman, R. E. and Hotz, R. F. (eds.), Studies in Abnormal Pressures, Elsevier, Amsterdam, pp. 241–250.Google Scholar
Hardage, B., 2009, Seismic-while-drilling: Techniques using the drill bit as the seismic source, Search and Discovery, Article 40411.Google Scholar
Harkins, K. L. and Baugher, J. W., 1969, Geological significance of abnormal formation pressures, J Pet Technol, 21, 961966.Google Scholar
Harper, D., 1969, New findings from overpressured detection curves in tectonically stressed beds, Society of Petroleum Engineers Meeting.Google Scholar
Hart, B. S., Flemings, P. B. and Deshpande, A., 1995, Porosity and pressure: Role of compaction disequilibrium in the development of geopressures in a Gulf Coast Pleistocene basin, Geology, 23, 4548.Google Scholar
Hatchell, P. J., van den Beukel, A., Molenaar, M. M., Maron, K. P., Kenter, C. J., Stammeijer, J. G. F., van den Velde, J. J. and Sayers, C. M., 2003, Whole earth 4D: Monitoring geomechanics: 73rd Annual International Meeting, SEG, expanded abstracts.Google Scholar
Hearst, J. R., Nelson, P. H. and Paillet, F. L., 2000, Well Logging for Physical Properties: A Handbook for Geophysicists, Geologists, and Engineers, 2nd ed., Wiley, Hoboken, NJ.Google Scholar
Hedberg, H. D., 1936, Gravitational compaction of clays and shales, Am J Sci, 31, 241287.Google Scholar
Heidbach, O., Rajabi, M., Reiter, K., Ziegler, M. and WSM Team, 2016, World Stress Map Database Release 2016. V. 1.1. GFZ Data Services. http://doi.org/10.5880/WSM.2016.001.Google Scholar
Heppard, P. D. and Traugott, M., 1998, Use of seal, structural and centroid information in pore pressure prediction, abstract, American Association of Drilling Engineers Forum on Pore Pressure Regimes in Sedimentary Basins and Their Predictions.Google Scholar
Hermanrud, C., Cao, S. and Lerche, I., 1990, Estimates of virgin rock temperature derived from BHT (bottom-hole temperature) measurements – bias and error, Geophysics, 55, 924931.Google Scholar
Herwanger, J. and Koutsabeloulis, N., 2011, Seismic Geomechanics: How to Build and Calibrate Geomechanical Models Using 3D and 4D Seismic Data, EAGE, Stavanger, Norway.Google Scholar
Hettema, M. H. H., Schutjens, P. M. T. M., Verboom, B. J. M. and Gussinklo, H. J., 2000, Production-induced compaction of sandstone reservoirs: The strong influence of field stress, SPE Reservoir Evaluation and Engineering, 3, 342347.Google Scholar
Hickman, S., Sibson, R. and Bruhn, R., 1995, Introduction to special section: Mechanical involvement of fluids in faulting, J Geophys Res, 100, 1283112840.Google Scholar
Hill, A. W., 1996, The use of exploration 3-D data in geohazard assessment: Where does the future lie? Offshore Technology Conference.Google Scholar
Hill, D., Sonika, S., Lowden, D., Paydayesh, M., Barling, T. and Branston, M., 2017, Full-field 4D image modeling to determine a reservoir monitoring strategy, First Break, 35, 7788.Google Scholar
Hinch, H. H., 1973, The physical properties of shale, shale hydration, and the nature of the shale-water system, Amoco Prod. Co. Report F73-G-17.Google Scholar
Hinze, W. J., von Frese, R. R. B., Saad, A. H., 2013, Gravity and Magnetic Exploration: Principles, Practices, and Applications, Cambridge University Press, Cambridge.Google Scholar
Holbrook, P., 2004, The primary controls over sediment compaction, AAPG Mem, 2132.Google Scholar
Holbrook, P. W., Maggiori, D. A. and Hensley, R., 1994, Real-time pore pressure and fracture pressure determination in all sedimentary lithologies, SPE paper 26791.Google Scholar
Horne, S. and Leaney, S., 2001, Polarization and slowness component inversion for TI anisotropy, Geophys Prospect, 48, 779788.Google Scholar
Hornby, B. E., Schwartz, L. M. and Hudson, J. A., 1994, Anisotropic effective-medium modeling of the elastic properties of shales, Geophysics, 59, 15701583.Google Scholar
Horner, D. R., 1951, Pressure build-up in wells, Third World Petroleum Congress.Google Scholar
Horsrud, P., 2001, Estimating mechanical properties of shale from empirical correlations, SPE Drill Completion, 16(2), 6873.Google Scholar
Hottman, C. E. and Johnson, R. K., 1965, Estimation of formation pressures from log-derived shale properties, J Pet Technol, 17, 717723.Google Scholar
Houbolt, J. J. H. C. and Wells, P. R. A., 1980, Estimation of heat flow in oil wells based on a relation between heat conductivity and sound velocity, Geol Mijnbouw, 59, 215224.Google Scholar
Howard, J. J., 1981, Lithium and potassium saturation of illite/smectite clays from interlaminated shales and sandstones, Clays Clay Min, 29, 136142.Google Scholar
Hower, J., Eslinger, E. V., Hower, M. E. and Perry, E. A., 1976, Mechanism of burial metamorphism of argillaceous sediment. I. Mineralogical evidence, Geol Soc Am Bull, 87, 725737.Google Scholar
Huang, Y., Bai, B., Quan, H., Huang, T., Xu, S. and Zhang, Y., 2011, Application of RTM 3D angle gathers to wide-azimuth data subsalt imaging, Geophysics, 76, 18.Google Scholar
Hubbert, M. K. and Rubey, W. W., 1959, Role of fluid pressure in mechanics of overthrust faulting, I. Mechanics of fluid filled porous solids and its application to overthrust faulting, Bull Geol Soc Am, 70, 115166.Google Scholar
Hubbert, M. K. and Willis, D. G., 1957, Mechanics of hydraulic fracturing, Pet Trans AIME, 210, 153168.Google Scholar
Hubral, V. and Krey, T., 1980, Interval velocities from seismic reflection time measurements, Society of Exploration Geophysicists.Google Scholar
Hudson, J. A. and Harrison, J. P., 1997, Engineering Rock Mechanics: An Introduction to the Principles, 1st ed., Pergamon Press, London.Google Scholar
Huffman, A. R., 1998, The future of pressure prediction using geophysical methods, in: Pressure Regimes in Sedimentary Basins and Their Prediction, SEG Conference Proceedings, SEG, Houston, pp. 217233.Google Scholar
Huffman, A. R., 2002, The future of pressure prediction using geophysical methods, AAPG Mem, 76, 217233.Google Scholar
Huffman, A. R. and Bowers, G. (eds.), 2002, Pressure Regimes in Sedimentary Basins and Their Prediction, AAPG Memoir 76, AAPG, Tulsa, OK.Google Scholar
Huffman, A. R. and Castagna, J. P., 1999, Rock physics and mechanics considerations for shallow water flow characterization, Shallow Water Flow Conference.Google Scholar
Huffman, A. and Castagna, J., 2001, Petrophysical basis for shallow-water flow prediction using multicomponent seismic data, Leading Edge, 20, 10301052.Google Scholar
Hunt, J. M. (ed.), 1996, Petroleum Geochemistry and Geology, 2nd ed., W. H. Freeman, New York.Google Scholar
Hunt, J. M., Whelan, J. K., Eglinton, L. B. and Cathles, L. M. III, 1994, Gas generation – a major cause of deep Gulf Coast overpressures, Oil Gas J, 92(29), 5963.Google Scholar
Hussein, S. A. and Alnajm, F. M., 2019, Estimation of minimum and maximum horizontal stresses from well log: A case study in Rumaila Oil Field, Iraq, Am J Geophys Geochem Geosyst, 5(3), 7890.Google Scholar
Huyen, B., Smith, M., Graham, J., Snyder, F. and Singh, S. K., 2012, Workflow enables first successful GOM subsalt post-stack inversion, Hart Energy E&P, August.Google Scholar
Inglis, C. E., 1913, Stresses in plates due to the presence of cracks and sharp corners, Trans Inst Naval Architects, 55, 219241.Google Scholar
Irwin, G. R., 1958. Fracture, in: Encyclopedia of Physics, vol. VI, Springer, New York, pp. 551590.Google Scholar
Issler, D. R., 1992, A new approach to shale compaction and stratigraphic restoration, Beaufort-Mackenzie Basin and Mackenzie Corridor, northern Canada, Am Assoc Pet Geol Bull, 76, 11701189.Google Scholar
Jackson, J. D., 1999, Classical Electrodynamics, Wiley, New York.Google Scholar
Jaeger, J. C., Cook, N. G. W. and Zimmerman, R. W., 2007, Fundamentals of Rock Mechanics, 4th ed., Blackwell, Malden, MA.Google Scholar
Jageler, A. H., 1976, Improved hydrocarbon reservoir evaluation through use of borehole gravimeter data, J Pet Technol, 28, 709718.Google Scholar
Japsen, P., Dysthe, D. K., Hartz, E. H., Stipp, S. L. S., Yarushina, V. M. and Jamtveit, B., 2011, A compaction front in North Sea chalk, J Geophys Res, 116, B11208.Google Scholar
Jin, Z. H., Johnson, S. E. and Fan, Z. Q., 2010, Subcritical propagation and coalescence of oil-filled cracks: Getting the oil out of low-permeability source rocks, Geophys Res Lett, 37(1), L01305.Google Scholar
Jizba, D. L., 1991, Mechanical and acoustical properties of sandstones and shales, PhD thesis, Stanford University.Google Scholar
Jones, O. T., 1944, The compaction of muddy sediments, Q J Geol Soc London, 100, 137160.Google Scholar
Jones, S. M., 1995, Velocities and quality factors of sedimentary rocks at low and high effective pressures, Geophys J Int, 123, 774780.Google Scholar
Jones, S., 2010, Tutorial: Velocity estimation via ray-traced based tomography, First Break, 28, 4552.Google Scholar
Jordan, J. R. and Shirley, O. J., 1966, Application of drilling performance data to overpressure detection, J Pet Technol, 18, 13871394.Google Scholar
Jorgensen, G. J. and Kisabeth, J. L., 2000, Joint 3D inversion of gravity, magnetic and tensor-gravity fields for imaging salt formations in the deepwater Gulf of Mexico, abstract, SEG Annual Meeting.Google Scholar
Jowett, E. C., Cathles, L. and Davis, B. W., 1992, Predicting depths of gypsum dehydration in evaporitic sedimentary, AAPG Bull, 77, 402413.Google Scholar
Kan, T. K. and Sicking, C. J., 1994, Pre-drill geophysical methods for geopressure detection and evaluation, in: Fertl, W. H., Chapman, R. E. and Hotz, R. F. (eds.), Studies in Abnormal Pressures, Developments in Petroleum Science 38, Elsevier, New York, pp. 155–186.Google Scholar
Kan, T. K. and Swan, H. W., 2001, Geopressure prediction from automatically derived seismic velocities, Geophysics, 66, 19371946.Google Scholar
Kankanamge, T., 2013, Pore pressure and fracture pressure modelling with offset well data and its application to surface casing design of a development well; deep panuke gas pool offshore nova scotia, MSc thesis, Dalhousie University.Google Scholar
Kao, J., Tatham, R. H. and Murray, P. E., 2010, Estimating pore pressure using compressional and shear wave data from multicomponent seismic nodes in Atlantis Field, deepwater Gulf of Mexico, SEG Annual Internal Meeting, expanded abstracts.Google Scholar
Kapoor, S., Vigh, D. and Wiarda, E., 2013, Full waveform inversion around the world, paper WE-11-03, EAGE Exhibition and Conference.Google Scholar
Karl, R., 1965, Gesteinsphysikalische Parameter (Schallgeschwindigkeit und Wärmeleitfähigkeit), Freiberger Forschungs, C197, 776.Google Scholar
Karig, D. E. and Hou, G., 1992, High-stress consolidation experiments and their geologic implications, J Geophys Res, 97(1), 289300.Google Scholar
Katahara, K., 2006, Overpressure and shale properties: Stress unloading or smectite-illite transformation? SEG Annual Meeting, extended abstracts.Google Scholar
Katahara, K., 2009, Lateral earth stress and strain, SEG Tech Prog Exp Abstr, 28, 21652169.Google Scholar
Kaufman, A. A., Alekseev, D. and Oristaglio, M., 2014, Principles of Electromagnetic Methods in Surface Geophysics, Methods in Geochemistry and Geophysics 45, Elsevier, New York.Google Scholar
Keaney, G., Li, G. and Williams, K., 2010, Improved fracture gradient methodology understanding the minimum stress in Gulf of Mexico, paper ARMA-10-177, US Rock Mechanics Symposium.Google Scholar
Kemper, M. and Gunning, J., 2014, Joint impedance and facies inversion–seismic inversion redefined, First Break, 32(9), 8995.Google Scholar
Kennedy, C. and Holster, W. T., 1966, Pressure-volume-temperature and phase relations of water and carbon dioxide, in: Handbook of Physical Constants, Geol Soc Am Mem 97, pp. 225241.Google Scholar
Kennett, J. P., Cannariato, K. G., Hendy, I. L. and Behl, R. J., 2003, Methane Hydrates in Quaternary Climate Change: The Clathrate Gun Hypothesis, American Geophysical Union, Washington, DC.Google Scholar
Khan, K., Al-Awadi, A., Dashti, Q., Kabir, M. R. and Aziz, M. R., 2009, Understanding overpressure trends helps optimize well planning and field development in tectonically active areas in Kuwait, SPW 122631.Google Scholar
Khatchikian, A., 1996, Deriving Reservoir Pore-Volume Compressibility from Well Logs, SPE Advanced Technology Series 5, SPE, Philadelphia, PA.Google Scholar
Khazanehdari, J. and Dutta, N., 2006, High-resolution pore pressure prediction using seismic inversion and velocity analysis, Society of Exploration Geophysicists Annual Meeting, expanded abstracts.Google Scholar
Kılıç, A. and Teymen, A., 2008, Determination of mechanical properties of rocks using simple methods, Bull Eng Geol Environ, 67, 237244.Google Scholar
King, M. S., 1983, Static and dynamic elastic properties of rock from the Canadian Shield, Int J Rock Mech Min Sci Geomech Abstr, 20, 237241.Google Scholar
Kirsch, G., 1898, Die theorie der elastizitat und die bedurfnisse der festigkeitslehre, Z Ver Dtsch Ing, 42, 797807.Google Scholar
Klimentos, T. and McCann, C., 1990, Relationships among compressional wave attenuation, porosity, clay content, and permeability in sandstones, Geophysics, 55, 9981014.Google Scholar
Knoll, L., 2016, The process of building a mechanical earth model using well data, MSc thesis, Department of Petroleum Geology, Montan Universitat.Google Scholar
Koefoed, O., 1955, On the effect of Poisson’s ratios of rock strata on the reflection coefficients of plane waves, Geophys Prospect, 3, 381387.Google Scholar
Koefoed, O., 1962, Reflection and transmission coefficients for plane longitudinal incident waves, Geophys Prospect, 10, 304351.Google Scholar
Komac, B. and Zorn, M., 2013, Geohazards. In: Bobrowsky, P. T. (ed.), Encyclopedia of Natural Hazards, Springer, Dordrecht, Netherlands, pp. 289295.Google Scholar
Korosi, A. and Fabuss, B. M., 1968, Viscosity of liquid water from 25 to 150 degree. measurements in pressurized glass capillary viscometer, Anal Chem, 40, 157162.Google Scholar
Koutsabeloulis, N. and Zhang, X., 2009, 3D reservoir geomechanical modeling in oil/gas field production, SPE-126095-MS.Google Scholar
Kozeny, J., 1927, Ueber kapillare Leitung des Wassers im Boden, Sitzungsber Akad Wiss Wien, 136(2a), 271306.Google Scholar
Kuchuk, F., Ayan, C. and Radeka, A., 1996, A revolution in reservoir characterization, Middle East Well Eval Rev, 6, 4155.Google Scholar
Kugler, H. G., 1933, Contribution to the sedimentary volcanism in Trinidad, J Inst Pet Technol, 19, 760772.Google Scholar
Kulkarni, R., Meyer, J. H. and Sixta, D., 1999, Are pore pressure related drilling problems predictable? The value of using seismic before and while drilling, Society of Exploration Geophysicists International Exposition and Annual Meeting.Google Scholar
Kumar, R., Al-Saeed, M., Al-Kandiri, J. M., Verma, N. K. and Al-Saqran, F., 2010, Seismic based pore pressure prediction in a West Kuwait field, Society of Petroleum Engineers, expanded abstracts.Google Scholar
Kunze, K. R. and Steiger, R. P., 1991, Extended leak-off tests to measure in situ stress during drilling, in: Roegiers, J.-C. (ed.), Rock Mechanics as a Multidisciplinary Science, Balkema, Rotterdam, pp. 3544.Google Scholar
Lacy, L. L., 1997, Dynamic rock mechanics testing for optimized fracture designs, SPE paper 38716-MS.Google Scholar
LaFehr, T. R. and Nabighian, M. N., 2012, Fundamentals of Gravity Exploration, SEG, Tulsa, OK.Google Scholar
LaFehr, T. R., 1983, Rock density from borehole gravity surveys, Geophysics, 48, 341356.Google Scholar
Lahann, R., 2000, Impact of diagenesis on compaction modeling and compaction equilibrium, Drilling and Exploiting Overpressured Reservoirs: A Research Workshop for the Millennium.Google Scholar
Lahann, R. W., 2002, Impact of smectite diagenesis on compaction modeling and compaction equilibrium, AAPG Mem, 76, 6172.Google Scholar
Lailly, P., 1983, The seismic inverse problem as a sequence of before stack migrations, Conference on Inverse Scattering, Theory and Application, Society for Industrial and Applied Mathematics, extended abstracts.Google Scholar
Lake, L. W. and Fanchi, J. R., 2007, Petroleum Engineering Handbook, Society of Petroleum Engineers, Richardson, TX.Google Scholar
Lal, M., 1999, Shale stability: Drilling fluid interaction and shale strength, SPE Latin American and Caribbean Petroleum Engineering Conference.Google Scholar
Lander, R. H. and Walderhaug, , o., 1999, Predicting porosity through simulating sandstone compaction and quartz cementation, AAPG Bull, 83, 433449.Google Scholar
Landrø, M. and Stammeijer, J., 2004, Quantitative estimation of compaction and velocity changes using 4D impedance and traveltime changes, Geophysics, 69, 949957.Google Scholar
Larsen, G. and Chilingar, G. V., 1983, Diagenesis in Sediments and Sedimentary Rocks: 2, Introduction, Developments in Sedimentology 25B, Elsevier, New York.Google Scholar
Lashkaripour, G. R., 2002, Predicting mechanical properties of mudrock from index parameters, Bull Eng Geol Environ, 61, 7377.Google Scholar
Laughton, A. S., 1957, Sound propagation in compacted ocean sediments, Geophysics, 22, 233260.Google Scholar
Law, B. E., 1984, Relationships of source-rock, thermal maturity, and overpressuring to gas generation and occurrence in low permeability Upper Cretaceous and Lower Tertiary rocks, greater Green River Basin, Wyoming, Colorado, and Utah, in: Woodward, J., Meissner, F. F. and Clayton, J. L. (eds.), Hydrocarbon Source Rocks of the Greater Rocky Mountain Region, Rocky Mountain Assoc. Geol., Denver, pp. 469490.Google Scholar
Law, B. E. and Spenser, C. W., 1998, Abnormal pressures in hydrocarbon environments, AAPG Mem, 70, 111.Google Scholar
Law, B. E., Spencer, C. W., Charpentier, R. A., Crovelit, R. A., Mast, R. F., Dolton, D. L. and Wandrey, C. J., 1989, Estimates of gas resources in overpressured low permeability Cretaceous and Tertiary sandstone reservoirs, Greater Green River Basin, Wyoming, Colorado and Utah, in: Wyoming Geological Association Fortieth Field Conference Guidebook, Wyoming Geological Association, Denver, CO, pp. 3961.Google Scholar
Lawn, B. R. and Wilshow, T. R., 1975, Fracture of Brittle Solids, Cambridge University Press, New York.Google Scholar
Le, H., Pradhan, A., Dutta, N., Biondi, B., Mukerji, T. and Levin, S. A., 2017, Building pore pressure and rock physics guides to constrain anisotropic waveform inversion, Stanford Exploration Project Report.Google Scholar
Le, H., Pradhan, A., Dutta, N. C., Biondi, B., Mukerji, T. and Levin, S. A., 2018, Rock physics guided velocity model building, International Annual Meeting of SEG.Google Scholar
Le, H., 2019, Anisotropic full-waveform inversion with pore pressure constraints, PhD thesis, Geophysics, Stanford University.Google Scholar
Le, K. and Rasouli, V., 2012, Determination of safe mud weight windows for drilling deviated wellbores: A case study in the North Perth Basin, WIT Trans Eng Sci, 81, 8395.Google Scholar
Leach, W. G., 1994, Distribution of hydrocarbons in abnormal pressure in South Louisiana, USA, in: Fertl, W.H., Chapman, R. E. and Hotz, R. F. (eds.), Studies in Abnormal Pressures, Elsevier, New York, pp. 391428.Google Scholar
Leach, W. G. and Fertl, W. H., 1990, The relationship of formation pressure and temperature to lithology and hydrocarbon distribution in Tertiary sandstones, International Well Logging Symposium.Google Scholar
Lee, M.-K. and Williams, D. D., 2000, Paleo-hydrology of the Delaware basin, western Texas: Overpressure development, hydrocarbon migration, and ore genesis, AAPG Bull, 84, 961974.Google Scholar
Lerche, I., 1990, Basin Analysis: Quantitative Methods, 2 vols., Academic Press, New York.Google Scholar
Levin, F. K., 1971, Apparent velocity from dipping interface reflections, Geophysics, 36, 310316.Google Scholar
Lewis, G. N., 1908, The osmotic pressure of concentrated solutions and the laws of the perfect solution, J Am Chem Soc, 30, 668683.Google Scholar
Li, H., 2014, Compositional upscaling for individual models and ensembles of realizations, PhD thesis, Stanford University.Google Scholar
Li, S. and Purdy, C. C., 2010, Maximum horizontal stress and wellbore stability while drilling: Modeling and case study. SPE Latin American and Caribbean Petroleum Engineering Conference.Google Scholar
Li, Y., Nichols, O. D. and Bachrach, R., 2011, Anisotropic tomography using rock physics constraints, EAGE Conference and Exhibition.Google Scholar
Li, Y., Biondi, B., Mavko, G. and Nichols, D., 2015, Integrated VTI model building with seismic, geological and rock physics data, 77th EAGE Conference and Exhibition.Google Scholar
Li, Y., Biondi, B., Clapp, R. and Nichols, D., 2016, Integrated VTI model building with seismic data, geological information, and rock-physics modeling. Part 1: Theory and synthetic test, Geophysics, 81, C177C191.Google Scholar
Li, S. and Burdy, C. C., 2010, Maximum horizontal stress and wellbore stability while drilling: Modeling and case study, SPE Latin American and Caribbean Petroleum Engineering Conference.Google Scholar
Lin, W., Yamamoto, K., Ito, H., Masago, H. and Kawamura, Y., 2008, Estimation of minimum principal stress from an extended leak-off test onboard the Chikyu drilling vessel and suggestions for future test procedures, Sci Drill, 6, 4347.Google Scholar
Lindseth, R. O., 1979, Synthetic sonic logs – A process for stratigraphic interpretation, Geophysics, 44, 326.Google Scholar
Liu, H., 2017, Principles and Applications of Well Logging, 2nd ed., Springer, New York.Google Scholar
Liu, Y., Dutta, N. C., Vigh, D., Kapoor, J., Hunter, C., Saragoussi, E., Jones, L., Yang, S. and Eissa, M. A., 2016, Basin-scale integrated earth-model building using rock-physics constraints, Leading Edge, 35, 141145.Google Scholar
Liu, Y., O’Briain, M., Hunter, C., Jones, L. and Saragoussi, E., 2018, Improving hydrocarbon exploration with pore pressure assisted earth model building, Interpret J, 6, 124.Google Scholar
Lizarralde, D. and Swift, S., 1999, Smooth inversion of VSP traveltime data, Geophysics, 64, 659661.Google Scholar
Long, M. D. and Silver, P. G., 2009, Shear wave splitting and mantle anisotropy: Measurements, interpretations, and new directions, Surv Geophys, 30, 407461.Google Scholar
López, J. L., Rappold, P. M., Ugueto, G. A., Wieseneck, J. B. and Vu, C. K., 2004, Integrated shared earth model: 3D pore-pressure prediction and uncertainty analysis, Leading Edge, 23, 5259.Google Scholar
Luo, X. R. and Vasseur, G., 1996, Geopressuring mechanism of organic matter cracking: Numerical modeling, AAPG Bull, 80, 856874.Google Scholar
Luo, X. and Vasseur, G., 1992, Contributions of compaction and aquathermal pressuring to geopressure and the influence of environmental conditions, AAPG Bull, 76, 15501559.Google Scholar
Ma, X. Q., 2001, Global joint inversion for the estimation of acoustic and shear impedances from AVO derived P- and S-wave reflectivity data, First Break, 19, 557566.Google Scholar
MacBeth, C., Li, X. Y., Crampin, S. and Mueller, M. C., 1992, Detecting lateral variability in fracture parameters from surface data, Annual International Meeting, expanded abstracts.Google Scholar
Mackenzie, A. S. and Quigley, T. M., 1988, Principles of geochemical prospect appraisal, AAPG Bull, 72, 399415.Google Scholar
Mackenzie, A. S., Leythaeuser, D., Muller, P., Radke, M. and Schaefer, R. G., 1986, Generation and migration of petroleum in the Brae area, Central North Sea, 3rd Conference on Petroleum Geology of NW Europe.Google Scholar
MacQueen, J. D., 2007, High-resolution density from borehole gravity data, Society of Exploration Geophysicists Technical Program, expanded abstracts.Google Scholar
Magara, K., 1968, Compaction and migration of fluids in Miocene mudstone, Nagaoka plain, Japan, AAPG Bull, 52, 24662501.Google Scholar
Magara, K., 1975, Reevaluation of montmorillonite dehydration as a cause of abnormal pressure and hydrocarbon migration, AAPG Bull, 59, 292302.Google Scholar
Magara, K., 1980, Comparison of porosity–depth relationships of shale and sandstone, J Pet Geol, 3, 175185.Google Scholar
Makhous, M. and Galushkin, Y., 2004, Basin Analysis and Modeling of the Burial, Thermal and Maturation Histories in Sedimentary Basins, Technip, Paris.Google Scholar
Malinverno, A., Sayers, C. M., Woodward, M. J. and Bartman, R. C., 2004, Integrating diverse measurements to predict pore pressures with uncertainties while drilling, SPE 90001.Google Scholar
Mallick, S., 1995, Model-based inversion of amplitude-variations-with-offset data using a genetic algorithm, Geophysics, 60, 939954.Google Scholar
Mallick, S., 1999, Some practical aspects of prestack waveform inversion using a genetic algorithm: An example from east Texas Woodbine gas sand, Geophysics, 64, 326336.Google Scholar
Mallick, S., 2001, AVO and elastic impedance, Leading Edge, 20, 10941104.Google Scholar
Mallick, S. and Dutta, N. C., 2002, Shallow water flow prediction using prestack waveform inversion of conventional 3D seismic data and rock modeling, Leading Edge, 21, 675680.Google Scholar
Mallick, S., Huang, X., Lauve, J. and Ahmad, R., 2000, Hybrid seismic inversion: a reconnaissance tool for deepwater exploration, Leading Edge, 9(11), 12301237.Google Scholar
Malvern, L. E., 1969, Introduction to the Mechanics of Continuous Medium, Prentice Hall, Englewood Cliffs, NJ.Google Scholar
Mann, D. M. and Mackenzie, A. S., 1990, Prediction of pore fluid pressures in sedimentary basins, Mar Pet Geol, 7, 5565.Google Scholar
Mao, W., Fletcher, R. and Deregowski, S., 2000, Automated interval velocity inversion, SEG International Annual Meeting, expanded abstracts.Google Scholar
Marion, D. A., Nur, A., Yin, H. and Han, D., 1992, Compressional velocity and porosity in sand-clay mixtures, Geophysics, 57, 554562.Google Scholar
Marion, D. P., 1990, Acoustic, mechanical, and transport properties of sediments and granular materials, PhD thesis, Stanford University.Google Scholar
Marsden, J. R., 1999, Geomechanics, Imperial College, London.Google Scholar
Marshak, S. and Woodward, N. B., 1988, Introduction to cross-section balancing, in: Marshak, S. and Mitra, G. (eds.), Basic Methods of Structural Geology, Prentice Hall, Englewood Cliffs, NJ, pp. 303332.Google Scholar
Masters, J. A., 1979, Deep basin gas trap, Western Canada, AAPG Bull, 63, 152181.Google Scholar
Masters, J. A., ed., 1984, Elmworth – case study of a deep basin gas field, AAPG Mem, 38, 133.Google Scholar
Matava, T., Keys, R., Foster, D. and Ashabranner, D., 2016, Isotropic and anisotropic velocity-model building for subsalt seismic imaging, Leading Edge, 35, 240245.Google Scholar
Matthews, W. R. and Kelly, J., 1967, How to predict formation pressure and fracture gradient, Oil Gas J, 65, 92106.Google Scholar
Mavko, G. and Mukerji, T., 1995, Seismic pore space compressibility and Gassmann’s relation, Geophysics, 60, 17431749.Google Scholar
Mavko, G. and Saxena, N., 2016, Rock-physics models for heterogeneous creeping rocks and viscous fluids, Geophysics, 81, D427D440.Google Scholar
Mavko, G., Mukerji, T. and Dvorkin, J., 1998, The Rock Physics Handbook, 1st ed., Cambridge University Press, Cambridge.Google Scholar
Mavko, G., Mukerji, T. and Dvorkin, J., 2009, The Rock Physics Handbook, 2nd ed., Cambridge University Press, Cambridge.Google Scholar
Mavko, G., Mukerji, T. and Dvorkin, J., 2020, The Rock Physics Handbook, 3rd ed., Cambridge University Press, Cambridge.Google Scholar
Mayuga, M. N., 1970, Geology and development of California’s giant – Wilmington Oil Field, AAPG Mem, 14, 158184.Google Scholar
McCann, C. and McCann, D. M., 1969, The attenuation of compressional waves in marine sediments, Geophysics, 34, 882892.Google Scholar
McClan, D. M. and Entwisle, D. C., 1992, Determination of rock mass from geophysical well logs, Geol Soc Spec Publ, 65, 315325.Google Scholar
McCubbin, D. G. and Patton, J. W., 1981, Burial diagenesis of illite/smectite, a kinetic model, AAPG Annual Meeting.Google Scholar
McCulloh, T. H., Kandle, G. R. and Schoellhamer, J. E., 1968, Application of gravity measurements in wells to problems of reservoir evaluation, Society of Professional Well Log Analysts Annual Logging Symposium.Google Scholar
McMechan, G. A., 1983, Seismic tomography in boreholes, Geophys J Int, 74, 601612.Google Scholar
McPeek, L. A., 1981, Eastern Green River Basin: A developing giant gas supply from deep overpressured Upper Cretaceous sandstones, AAPG Bull, 65, 10781098.Google Scholar
Meade, R. H., 1966, Factors influencing the early stages of the compaction of clays and sands-review, J Sediment Petrol, 36, 10851101.Google Scholar
Meehan, R., Nutt, W. L. and Dutta, N. C., 1998, Drill-bit seismic: A drilling optimization tool, SPE 39312.Google Scholar
Meissner, F. F., 1978, Petroleum Geology of the Bakken Formation, Williston Basin, North Dakota and Montana, Montana Geological Society, Billing, MT.Google Scholar
Melas, F. and Friedman, G. M., 1992, Petrophysical characteristics of the Jurassic Smackover Formation, Jay field, Conecuh Embayment, Alabama and Florida, AAPG Bull, 76, 81100.Google Scholar
Mese, A., Dvorking, J. and Shinglaw, J., 2000, An investigation for disposal drill cuttings into unconsolidated sandstones and clayey sands, DOE Report 15172-1 (OSTI ID: 761985).Google Scholar
Militzer, H. and Stoll, R., 1973, Einige Beiträige der Geophysik zur primädatenerfassung im Bergbau, Neue Bergbautechnik, 3, 2125.Google Scholar
Miller, T. W., Luk, C. H. and Olgaard, D. L., 2002, The interrelationships between overpressure mechanisms and in-situ stresses, AAPG Mem, 76, 1320.Google Scholar
Minshull, T. A. and White, R., 1989, Sediment compaction and fluid migration in the Makran accretionary prism. Journal of Geophysical Research, B, Solid Earth and Planets, 94(6), 73877402.Google Scholar
Miranda, F., Aleotti, L., Abramo, F., Poletto, F., Craglietto, A., Persoglia, S. and Rocca, F., 1996, Impact of the Seismic While Drilling technique on exploration wells. First Break, 14, 5568.Google Scholar
Miranda, F., Abramo, F., Poletto, F. and Comelli, P., 2000, Processes for improving the bit seismic signal using drilling parameters, European Patent Application 00201332.4–2213.Google Scholar
Mitchell, W. K. and Nelson, R. J., 1988, A Practical Approach to Statistical Log Analysis, SPWLA, San Antonio, TX.Google Scholar
Momper, J. A., 1980, Oil expulsion: A consequence of oil generation, AAPG Stud Geol, 35, 181191.Google Scholar
Mondol, N. H., 2015, Well logging: Principles and uncertainties, in: Bjørlykke, K. (ed.), Petroleum Geoscience, Springer, Berlin, pp. 385426.Google Scholar
Mondol, N. H., Bjørlykke, K., Jahren, J. and Hoeg, K., 2007, Experimental mechanical compaction of clay mineral aggregates – changes in physical properties of mudstones during burial, Mar Pet Geol, 24, 289311.Google Scholar
Mondol, N. H., Fawad, M., Jahren, J. and t Bjørlykke, K., 2008, Synthetic mudstone compaction trends and their use in pore pressure prediction. First Break, 26, 4351.Google Scholar
Moorkamp, M., Lelièvre, P. G., Linde, N. and Khan, A., eds., 2016, Integrated Imaging of the Earth: Theory and Application, American Geophysical Union, Washington, DC.Google Scholar
Moos, D. and Zwart, G., 1998, Predicting pore pressure from porosity and velocity, SEG Conference.Google Scholar
Moos, D., Zoback, M. D. and Bailey, L., 2001, Feasibility study of the stability of openhole multilaterals, Cook Inlet, Alaska, SPE Drill Completions, 16, 140145.Google Scholar
Moos, D., Peska, P., Ward, C. and Brehm, A., 2004, Quantitative risk assessment applied to pre-drill pore pressure, sealing potential, and mud window predictions, Gulf Rocks 2004, 6th North America Rock Mechanics Symposium, Houston, TX.Google Scholar
Morton, J. P., 1985, Rb-Sr dating of diagenesis and source age of clays in Upper Devonian black shales of Texas, GSA Bull, 96, 10431049.Google Scholar
Mosca, F., Djordjevic, O., Hantschel, T., McCarthy, J., Krueger, A., Phelps, D., Akintokunbo, T., Joppen, T., Koster, K., Schupbach, M., Hampshire, K. and MacGregor, A., 2017, Pore pressure prediction while drilling: 3D Earth model in the Gulf of Mexico, AAPG Bull, 102, 691708.Google Scholar
Mouchet, J. P. and Mitchell, A., 1989, Abnormal Pressures While Drilling: Origins, Prediction, Detection and Evaluation, Technip, Paris.Google Scholar
Muskat, M., 1937, The Flow of Homogeneous Fluids through Porous Media, McGraw-Hill, New York.Google Scholar
Naeini, E. Z., Green, S., Russell-Hughes, I. and Rauch-Davies, M., 2019, An integrated deep learning solution for petrophysics, pore pressure, and geomechanics property prediction, Leading Edge, 38, 5359.Google Scholar
Najibi, A. R., Ghafoori, M., Lashkaripour, G. R. and Asef, M. R., 2015, Empirical relations between strength and static and dynamic elastic properties of Asmari and Sarvak limestones, two main oil reservoirs in Iran, J Pet Sci Eng, 126, 7882.Google Scholar
Neuzil, C. E., 2000, Osmotic generation of “anomalous” fluid pressures in geological environments, Nature, 403, 182184.Google Scholar
Nguyen, T., 2013, Well Design Course PE-413, New Mexico Technical University, Department of Petroleum Engineering.Google Scholar
Nind, C. J. M., MacQueen, J. D. and Wasylechko, R., 2013, The Borehole Gravity Meter: Development and Results; 10th Biennial International Conference & Exposition, Society of Petroleum Geophysicists, Kochi, India.Google Scholar
Nur, A. M., 1969, Effect of stress and fluid inclusions on wave propagation in rock, PhD thesis, MIT.Google Scholar
Nur, A., 1971, Effects of stress on velocity anisotropy in rocks with cracks, J Geophys Res, 76, 20222034.Google Scholar
Nur, A., 1991, Critical porosity, elastic bounds, and seismic velocities in rocks, Tech Prog Abstr EAEG, 53, 248249.Google Scholar
Nur, A. and Byerlee, J. D., 1971, An exact effective stress law for deformation of rocks with fluids, J Geophys Res, 76, 64146419.Google Scholar
Nur, A. M. and Wang, A., 1989, Seismic and Acoustic Velocities in Reservoir Rocks, vol. 1, Experimental Studies, Geophysics Reprint Series 10, Society of Exploration Geophysics, Tulsa, OK.Google Scholar
Nur, A. M., Marion, D. and Yin, H., 1991, Wave velocities in sediments, in: Hovem, J. M., Richardson, M. D. and Stoll, R. D. (eds.), Shear Waves in Marine Sediments, Kluwer, New York, pp. 131140.Google Scholar
Nur, A., Mavko, G., Dvorkin, J. and Gal, D., 1995, Critical porosity: The key to relating physical properties to porosity in rocks, SEG Annual Meeting, expanded abstracts.Nur, A., Mavko, G., Dvorkin, J. and Galmudi, G., 1998, Critical porosity: A key to relating physical properties to porosity in rocks, Leading Edge, 17, 357362.Google Scholar
Nuttall, H. E., Guo, T.-M., Schrader, S. and Thakur, D. S., 1983, Pyrolysis kinetics of several key world oil shales, in: Geochemistry and Chemistry of Oil Shales, American Chemical Society, Washington, DC, pp. 269300.Google Scholar
Nye, J. F., 1985, Physical Properties of Crystals, Oxford University Press, New York.Google Scholar
Nygard, R., Gutierrez, M., Gautam, R. and Hoeg, K., 2004, Compaction behavior of argillaceous sediments as function of diagenesis, Mar Pet Geol, 21, 349362.Google Scholar
Nygard, V., Jahangir, M., Gravem, T., Nathan, E., Evans, J. G., Reeves, M., Wolter, H. and Hovda, S., 2008, A step change in total system approach through wired-drillpipe technology, SPE 112742.Google Scholar
O’Connor, S. A., Swarbrick, R. E., Clegg, P. and Scott, D. T., 2008, Pore pressure profiles in deep water environments: Case studies from around the world, AAPG Annual Meeting.Google Scholar
O’Connor, S., Swarbrick, R. E. and Lahann, R., 2011, Geologically‐driven pore fluid pressure models and their implications for petroleum exploration: Introduction to thematic set, Geofluids, 11, 343400.Google Scholar
Ohen, H. A., 2003, Calibrated wireline mechanical rock properties method for predicting and preventing wellbore collapse and sanding, SPE 82236.Google Scholar
Olberg, T. S., Laastad, H., Lesso, B. and Newton, A., 2008, The utilization of the massive amount of real-time data acquired in wired-drillpipe operations, SPE 112702.Google Scholar
Olofsson, B., Probert, T., Kommedal, J. H. and Barkved, O. I., 2003, Azimuthal anisotropy from the Valhall 4C 3D survey, Leading Edge, 22(12), 12281235.Google Scholar
Oriji, A. and Ogbonna, J. A., 2012, New fracture gradient prediction technique that shows good results in Gulf of Guinea wells, Abu Dhabi International Petroleum Conference and Exhibition.Google Scholar
Ortoleva, P. J., 1994, Basin compartments and seals, AAPG Mem, 61, 333348.Google Scholar
Osborne, M. J. and Swarbrick, R. E., 1997, Mechanisms which generate overpressure in sedimentary basins: A reevaluation, AAPG Bull, 81, 10231041.Google Scholar
Ostermeier, R. M., Pelletier, J. H., Winker, C. D., Nicholson, J. W., Rambow, F. H. and Cowan, K. M., 2002, Dealing with shallow-water flow in the deepwater Gulf of Mexico, Leading Edge, 21, 660668.Google Scholar
Ostrander, W. J., 1984, Plane wave reflection coefficients for gas sands at non-normal angles of incidence, Geophysics, 49, 16371648.Google Scholar
Osypov, K., Yang, Y., Fournier, A., Ivanova, N., Bachrach, R., Yarman, C. E., Yu, Y, Nicholes, D. and Woodward, M., 2013, Model uncertainty quantification in seismic tomography: Method and applications, Geophys Prospect, 61, 11141134.Google Scholar
Oughton, R. H., Wooff, D. A., Hobbs, R. W., Swarbrick, R. E. and O’Connor, S. A., 2018, A sequential dynamic Bayesian network for pore-pressure estimation with uncertainty quantification, Geophysics, 83, D27D39.Google Scholar
Padina, S., Churchill, D. and Bording, R. P., 2006, Travel time inversion in seismic tomography, www.cs.mun.ca/~dchurchill/pdf/HPCSPaper.pdf.Google Scholar
Paillet, F. and Cheng, C.-H., 1991, Acoustic Waves in Boreholes, CRC Press, Boca Raton, FL.Google Scholar
Palciauskas, V. V. and Domenico, P. A., 1989, Fluid pressures in deforming rocks, Water Resour Res, 25, 203213.Google Scholar
Palaz, I. and Marfurt, K. (eds.), 1997, Carbonate Seismology, Geophysical Developments Series 6, SEG, Tulsa, OK, pp. 2952.Google Scholar
Pan, W., Innanen, K. A. and Geng, Y., 2018, Elastic full-waveform inversion and parametrization analysis applied to walk-away vertical seismic profile data for unconventional (heavy oil) reservoir characterization, Geophys J Int, 213, 19341968.Google Scholar
Parker, R. L., 1994, Geophysical Inverse Theory, Princeton University Press, Princeton, NJ.Google Scholar
Peacock, S., Westbrook, G. K. and Bais, G., 2009, S-wave velocities and anisotropy in sediments entering the Nankai subduction zone, offshore Japan, Geophys J Int, 180, 743758.Google Scholar
Pennebaker, E. S., 1968, Seismic data indicate depth, magnitude of abnormal pressure, World Oil, 166(7), 7378.Google Scholar
Perez, M. A., Clyde, R., D’Ambrosio, P., Israel, P., Leavitt, T., Johnson, C. and Williamson, D., 2008, Meeting the subsalt challenge, SLB Oil Field Rev, 20(3), 3246.Google Scholar
Perry, E. A., 1969, Burial diagenesis of Gulf Coast pelitic sediments, PhD dissertation, Case Western Reserve University.Google Scholar
Perry, E. A. and Hower, J., 1970, Burial diagenesis in Gulf Coast pelitic sediments, Clays Clay Min, 18, 165177.Google Scholar
Perry, E. A. and Hower, J., 1972, Late-stage dehydration in deeply buried pelitic sediments, AAPG, 56, 20132021.Google Scholar
Peters, K. E., 2009, Getting started in basin and petroleum system modeling, American Association of Petroleum Geologists CD-ROM #16, AAPG Data pages.Google Scholar
Peters, K. E. and Nelson, P. H., 2009, Criteria to determine borehole formation temperatures for calibration of basin and petroleum system models, Search and Discovery, Article 40463.Google Scholar
Petmecky, R. S., Albertin, M. L. and Burke, N., 2009, Improving subsalt imaging using 3D-basin modeling derived velocities, J Mar Pet Geol, 26, 457463.Google Scholar
Phelps, D., Akintokunbo, J. T. T., Koster, K., Schupbach, M. and De Gennaro, V., 2012, Solutions for 3D coupled geomechanical and HF modelling in UG reservoirs, EAGE Conference and Exhibition.Google Scholar
Pickett, G. R., 1963, Acoustic character logs and their applications in formation evaluation, J Pet Technol, 15, 659667.Google Scholar
Pigott, J. D. and Tadepalli, S. V., 1996, Direct determination of clastic reservoir porosity and pressure from AVO inversion, SEG Annual International Meeting, extended abstracts.Google Scholar
Pigott, J. D., Shrestha, R. K. and Warwick, R. A., 1990, Direct determination of carbonate reservoir porosity and pressure from AVO inversion, SEG Annual International Meeting, extended abstracts.Google Scholar
Pilkington, P. E., Fracture gradient estimates in Tertiary basins, Pet Eng Int, 8, 138148.Google Scholar
Pittman, E. D. and Larese, R. E., 1991, Compaction of lithic sands: Experimental results and applications, Bull AAPG, 75, 12791299.Google Scholar
Pixler, B. O., 1945, Some recent developments in mud analysis logging, SPE 2026.Google Scholar
Plessix, R. E. and Perkins, C., 2010, Full waveform inversion of a deep water ocean bottom seismometer data set, First Break, 28, 7178.Google Scholar
Plumb, R., Edwards, S., Pidcock, G., Lee, D. and Stacey, B., 2000, The mechanical earth model concept and its application to high-risk well construction projects, IADC/SPE Drilling Conference.Google Scholar
Plumb, R., Edwards, S., Pidcock, G., Lee, D. and Stacey, B., 2013, The mechanical earth model concept and its application to high-risk well construction projects, IADC/SPE Drilling Conference, New Orleans, LA.Google Scholar
Polleto, F. B. and Miranda, F., 2004, Fundamentals of drill-bit seismic, in: Seismic while Drilling, vol. 35, Elsevier, New York, pp. 422429.Google Scholar
Potter, P. E., Maynard, J. B. and Pryor, W. A., 2012, Sedimentology of Shale: Study Guide and Reference Source, Springer, New York.Google Scholar
Poulton, M. M., 2002, Neural networks as an intelligence amplification tool: A review of applications, Geophysics, 67, 979993.Google Scholar
Pouya, A., Irini, D. M., Violaine, L. V. and Daniel, G., 1998, Mechanical behavior of fine grained sediments: Experimental compaction and three-dimensional constitutive model, Mar Pet Geol, 15, 129143.Google Scholar
Powers, M. C., 1967, Fluid release mechanisms in compacting marine mud rocks and their implications in oil exploration, Bull AAPG, 51, 12401254.Google Scholar
Powley, D. E., 1993, Shale compaction and its relation to fluid seals: Sec. III, quarterly report, GRI contract 5092–2443.Google Scholar
Pradhan, A., Mukerji, T. and Dutta, N. C., 2017a, Effect of compaction and smectite-illite transition on velocity anisotropy, SEG International Exposition, Technical Program expanded abstracts.Google Scholar
Pradhan, A., Scheirer, A. H., Dutta, N. C., AlKawai, W. H., Le, H. Q. and Mukerj, T., 2017b, Integrated constraints for basin modeling and seismic imaging: application to the northern Gulf of Mexico basin, BPSM Affiliates’ Meeting.Google Scholar
Pradhan, A., Dutta, N. C. and Mukerji, T., 2018, Basin modeling and rock physics constraints for seismic imaging, Stanford Rock Physics Report F5.Google Scholar
Pradhan, A., Le, H. Q., Dutta, N. C., Biondi, B. and Mukerji, T., 2020, A Bayesian framework for seismic velocity and earth modeling with basin modeling, rock physics and imaging constraints, Geophysics, 85: ID19-ID34.Google Scholar
Prasad, M., 1988, Experimental and theoretical considerations of velocity and attenuation interactions with physical parameters in sands, PhD thesis, Kiel University.Google Scholar
Prasad, M., 2002, Acoustic measurements in sands at low effective pressure: Overpressure detection in sands, Geophysics, 67, 405412.Google Scholar
Prasad, M. and Manghnani, M. H., 1997, Effect of pore pressure and differential pressure of compressional wave velocity and quality factor in Berea and Michigan sandstones, Geophysics, 62, 11631176.Google Scholar
Prasad, M. and Meissner, R., 1992, Attenuation mechanisms in sands: Laboratory versus theoretical (Biot) data, Geophysics, 57, 710719.Google Scholar
Prioul, R., Bakulin, A. and Bakulin, V., 2004, Nonlinear rock physics model for estimation of 3D subsurface stress in anisotropic formations: Theory and laboratory verification, Geophysics, 69, 415425.Google Scholar
Pritchard, D. M. and Lacy, K. D., 2011, Deepwater well complexity – The new domain, Deepwater Horizon Study Group Working Paper, Prospecting, 32, 9981015.Google Scholar
Quijada, M. F. and Stewart, R. R., 2007, Density estimations using density-velocity relations and seismic inversion, CREWES Research Report 19.Google Scholar
Rabia, H., 1985, Oilwell Drilling Engineering: Principles and Practice, Graham and Trotman, Gaithersburg, MD.Google Scholar
Raiga-Clemenceau, J., Martin, J. P. and Nicoletis, S., 1988, The concept of acoustic formation factor for more accurate porosity determination from sonic transit time data, SPWLA Annual Logging Symposium.Google Scholar
Ramm, M., 1992, Porosity-depth trends in reservoir sandstones: Theoretical models related to Jurassic sandstones in offshore Norway, Mar Pet Geol, 9, 553567.Google Scholar
Rao, C. V. and Chandrashekar, S., 2013, Syn-dill seismic imaging through seismic guided drilling: A case history from East coast India deep water example, paper P431, International Conference and Exposition.Google Scholar
Rao, M. V., 2002, Method of drilling in response to other publications looking ahead of drill bit, US Patent 6,480,118 B1.Google Scholar
Raymer, L. L., Hunt, E. R. and Gardner, J. S., 1980, An improved sonic transit time-to-porosity transform, SPWLA Annual Logging Symposium.Google Scholar
Reagan, M. and Moridis, G., 2010, Numerical studies for the characterization of recoverable resources from methane hydrate deposits, Annual Gas Hydrates Meeting.Google Scholar
Rector, J. W., 1990, Utilization of drill-bit vibrations as a downhole seismic source, PhD thesis, Stanford University.Google Scholar
Rehm, W. A. and McClendon, R., 1971, Measurement of formation pressure from drilling data, SPE 3601.Google Scholar
Reuss, A., 1929, Berechnung der fliessgrense von mischkristallen auf grund der plastizitatsbedinggung fur einkristalle, Z Angew Math Mech, 9, 4958.Google Scholar
Reynolds, E. B., 1970, Predicting overpressured zones with seismic data, World Oil, 171(5), 7882.Google Scholar
Reynolds, E. B., 1973, The application of seismic techniques to drilling techniques, SPE preprint 4643.Google Scholar
Reynolds, E. B., May, J. E. and Klaveness, A., 1971, Geophysical aspects of abnormal fluid pressures, in: Abnormal Subsurface Pressure, a Study Group Report 1969–1971, Houston Geological Society, Houston, TX, pp. 3147.Google Scholar
Reynolds, J. M., 1997, An Introduction to Applied and Environmental Geophysics, Wiley, New York.Google Scholar
Rimstad, K., Avseth, P. and Omre, H., 2012, Hierarchical Bayesian lithology/fluid prediction: A North Sea case study, Geophysics, 77, B69B85.Google Scholar
Rochon, R. W., 1968, The Effect of Mud Weight in Mud Logging Gas Anomalies, Monarch Logging Co., San Antonio, TX.Google Scholar
Rogers, S. J., Fang, J. H., Karr, C. L. and Stanley, D. A., 1992, Determination of lithology from well-logs using a neural network, Am Assoc Pet Geol Bull, 76, 792822.Google Scholar
Ronen, S., Rokkan, A., Bouraly, R., Valsvik, G., Larson, L., Ostenvig, E., Paillet, J., Dynia, A., Matlosg, A., Brown, S., Drummie, S., Holden, J., Koster., J., Monk, D. and Swanson, D., 2012, Imaging shallow gas drilling hazards under three Forties field platforms using ocean bottom nodes, Leading Edge, 31, 465469.Google Scholar
Roscoe, K. H. and Burland, J. B., 1968, On the generalized stress-strain behavior of wet clays, in: Heyman, J. and Leckie, F. A. (eds.), Engineering Plasticity, Cambridge University Press, Cambridge, pp. 535609.Google Scholar
Roth, G. and Tarantola, A., 1994, Neural networks and inversion of seismic data, J Geophys Res, 99, 67536768.Google Scholar
Rowan, M. G., 1993, A systematic technique for the sequential restoration of salt structures, Tectonophysics, 228, 331348.Google Scholar
Rubey, W. M. and Hubbert, M. K., 1959, Role of fluid pressure in mechanics of overthrust faulting. II. Overthrust belt in geosynclinals area of Western Wyoming in light of fluid-pressure hypothesis, Geol Soc Am Bull, 70, 167206.Google Scholar
Rutherford, S. R. and Williams, R. H., 1989, Amplitude-versus-offset variations in gas sands, Geophysics, 54, 680688.Google Scholar
Sainson, S., 2017, Electromagnetic Seabed Logging: A New Tool for Geoscientists, Springer, New York.Google Scholar
Salehi, S. and Mannon, T., 2013, Application of seismic frequency based pore pressure prediction in well design: Review of an integrated well design approach in deepwater Gulf of Mexico, J Geol Geosci, 2, 125.Google Scholar
Sarker, R. and Batzle, M., 2008, Effective stress coefficient in shales and its applicability to Eaton’s equation, Leading Edge, 27, 798804.Google Scholar
Sasaki, A., 1987, A reliability of Horner-plot method for estimating static formation temperature from well log data, J Jpn Assoc Pet Technol, 52(3), 2332.Google Scholar
Satti, I. A., Ghosh, D. and Yusoff, W. I. W., 2015, 3D predrill pore pressure prediction using basin modeling approach in a field in Malay Basin, Asian J Sci, 8, 2431.Google Scholar
Savich, A. I., 1984, Generalized relations between static and dynamic indices of rock deformability, Power Technol. Eng., 18, 394400.Google Scholar
Sayers, C. M., 2006, An introduction to velocity-based pore-pressure prediction, Leading Edge, 25, 14961500.Google Scholar
Sayers, C. M., 2010, Rocks under Stress, Society of Exploration Geophysicists/European Association of Geoscientists and Engineers, Tulsa, OK.Google Scholar
Sayers, C., Woodward, M. J. and Bartman, R. C., 2001, Predrill pore-pressure prediction using 4-C seismic data, Leading Edge, 21, 10561059.Google Scholar
Sayers, C. M., Johnson, G. M. and Denyer, G., 2002, Predrill pore-pressure prediction using seismic data, Geophysics, 67, 12861292.Google Scholar
Sayers, C. M., den Boer, L. D., Nagy, Z. R. and Hooyman, P. J., 2006, Well-constrained seismic estimation of pore pressure with uncertainty, SEG Annual Meeting, expanded abstracts.Google Scholar
Schatz, J. F. and Simmons, G., 1972, Thermal conductivity of Earth materials at high temperatures, J Geophys Res, 77, 69666983.Google Scholar
Schlumberger, 2016, Real-time drilling geomechanics reduces NPT, www.slb.com/~/media/Files/dcs/product_sheets/geomechanics/geomechanics_rt_ps.pdf.Google Scholar
Schneider, F., Coussy, O. and Dormieux, L., 1998, A mechanical modelling of the primary migration, Rev Inst Fran Pétrole EDP Sci, 53, 151161.Google Scholar
Schoenberg, M., Muir, F. and Sayers, C., 1996, Introducing ANNIE: A simple three-parameter anisotropic velocity model for shales, J Seismic Explor, 5, 3549.Google Scholar
Schowalter, T. T., 1979, Mechanics of secondary hydrocarbon migration and entrapment, AAPG Bull, 63, 723760.Google Scholar
Schreiber, B. C., 1968, Sound velocity in deep sea sediments, J Geophys Res, 73, 12591268.Google Scholar
Schuster, D. C., 1995, Deformation of allochthonous salt and evolution of related salt–structural systems, eastern Louisiana Gulf Coast, AAPG Mem, 65, 177198.Google Scholar
Sclater, J. G. and Christie, P. A. F., 1980, Continental stretching; an explanation of the post-Mid-Cretaceous subsidence of the central North Sea basin, J Geophys Res, 85, 37113739.Google Scholar
Scott, D. and Thomsen, L. A., 1993, A global algorithm for pore pressure prediction, SPE 25674.Google Scholar
Scott, T. E. and Abousleiman, Y., 2004, Acoustical imaging and mechanical properties of soft rock and marine sediments, Final Technical Report 15302, DOE Award DE-FC26-01BC15302.Google Scholar
Sen, M. K. and Stoffa, P. L., 1991, Nonlinear one-dimensional seismic waveform inversion using simulated annealing, Geophysics, 56, 16241638.Google Scholar
Sen, M. K. and Stoffa, P. L., 1992, Rapid sampling of model space using genetic algorithms: Examples from seismic waveform inversion, Geophys J Int, 108, 281292.Google Scholar
Sengupta, M., Dai, J., Volterrani, S., Dutta, N., Rao, N. S., Al-Qadeeri, B. and Kidambi, K. K., 2011, Building a seismic-driven 3D geomechanical model in a deep carbonate reservoir, SEG Annual Meeting.Google Scholar
Serra, O., 2008, The Well Logging Handbook, Technip, Paris.Google Scholar
Shamsipour, P., Marcotte, D., Chouteau, M. and Keating, P., 2010, 3D stochastic inversion of gravity data using cokriging and cosimulation, Geophysics, 75, I1I10.Google Scholar
Shea, W. T., Schwalbach, J. R. and Allard, D. M., 1993, Integrated rock-log evaluation of fluvio-lacustrine seals, in: Ebanks, J., Kaldi, J., Vavra, C. (eds.), Seals and Traps: A Multidisciplinary Approach, AAPG Hedberg Research Conference, unpublished abstract.Google Scholar
Shelander, D., Dai, J., Bunge, G., McConnell, D. and Banik, N., 2010a, Predicting saturation of gas hydrates using pre-stack seismic data, Gulf of Mexico, Mar Geophys Res, 31, 3957.Google Scholar
Shelander, D., Dai, J., Bunge, G., Collett, T., Boswell, R. and Jones, E., 2010b, Predictions of Gas Hydrates using pre-stack seismic data, Deepwater GOM, AAPG Annual Convention.Google Scholar
Sheriff, R. E. and Geldart, L. P., 1995, Exploration Seismology, 2nd ed., Cambridge University Press, Cambridge.Google Scholar
Shuey, R. T., 1985, A simplification of the Zoeppritz equations, Geophysics, 50, 609614.Google Scholar
Siggins, A. F., Dewhurst, D. N. and Tingate, P. R., 2001, Stress path, pore pressure and micro structural influences on Q in Camarvon basin sandstones, Offshore Technology Conference.Google Scholar
Singha, D. K. and Chatterjee, R., 2014, Detection of overpressure zones and a statistical model for pore pressure estimation from well logs in the Krishna-Godavari Basin, India, Geochem Geophys Geosyst, 15, 10091020.Google Scholar
Sirgue, L., Barkved, O. I., Van Gestel, J. P., Askim, O. J. and Kommedal, J. H., 2009, 3D waveform inversion on Valhall wide-azimuth OBC, EAGE Conference and Exhibition, expanded abstracts U038.Google Scholar
Skempton, A. W., 1944, Notes on the compressibility of clays, Q J Geol Soc London, 100(Parts 1 & 2), 119135.Google Scholar
Skempton, A. W., 1970, The consolidation of clays by gravitational compaction, Q Geol Soc London, 125(Part 3), 373411.Google Scholar
Smith, D. A., 1966, Theoretical considerations of sealing and non-sealing faults, AAPG Bull, 50, 363374.Google Scholar
Smith, J. E., 1970, The dynamics of shale compaction and evolution of pore fluid pressures, Math Geol, 3, 239263.Google Scholar
Smith, N. J., 1950, The case for gravity data from boreholes, Geophysics, 15, 605636.Google Scholar
Smorodinov, M. I., Motovilove, E. A. and Volkov, V. A., 1970, Determination of correlation relationships between strength and some physical characteristics of rocks, Proc Int Soc Rock Mech, 1, 119.Google Scholar
Sone, H. and Zoback, M. D., 2014, Time-dependent deformation of shale gas reservoir rocks and its long-term effect on the in situ state of stress, Int J Rock Mech Min Sci, 69, 120132.Google Scholar
Song, L., 2012, Measurement of minimum horizontal stress from logging and drilling data in unconventional oil and gas, MSc thesis, University of Calgary.Google Scholar
Spencer, C. W., 1987, Hydrocarbon generation as a mechanism for overpressuring in Rocky Mountain region, Bull AAPG, 71, 368388.Google Scholar
Stewart, R. R., 1984, VSP interval velocities from traveltime inversion, Geophys Prospect, 32, 608628.Google Scholar
Stoffa, P. L. and Sen, M. K., 1991, Nonlinear multi-parameter optimization using genetic algorithms: Inversion of plane-wave seismograms, Geophysics, 56, 17941810.Google Scholar
Stone, D. G., 1983, Predicting pore pressure and porosity from VSP data, SEG Annual International Meeting, Technical Program abstract.Google Scholar
Stork, C., 1992, Reflection tomography in the post migrated domain, Geophysics, 57, 680692.Google Scholar
Storvoll, V., Bjørlykke, K. and Mondol, N. H., 2005, Velocity-depth trends in Mesozoic and Cenozoic sediments from the Norwegian shelf, AAPG Bull, 89, 359381.Google Scholar
Strandenes, S., 1991, Rock physics analysis of the Brent Group Reservoir in the Oseberg Field, Stanford Rock Physics and Borehole Geophysics Project.Google Scholar
Streeter, V. L., 1966, Fluid Mechanics, McGraw-Hill. New York.Google Scholar
Stump, B. B., Flemings, P., Finkbeiner, T. and Zoback, M. D., 1998, Pressure differences between overpressured sands and bounding shales of the Eugene Island 330 field (off-shore Louisiana, USA) with fluid flow induced by sediment loading, AAPG Mem, 22, 8392.Google Scholar
Stunes, S., 2012, Methods of pore pressure detection from real-time drilling data, MSc thesis, Norwegian Institute of Science and Technology.Google Scholar
Suman, A., 2013, Joint inversion of production and time-lapse: Seismic application to Norne field, PhD dissertation, Stanford University.Google Scholar
Suman, S., 2009, Toward understanding and modeling compressibility effects on velocity gradients in turbulence, PhD thesis, Texas A & M University, College Station, TX.Google Scholar
Sun, Q., 2012, Fracture Mechanics, Elsevier, New York.Google Scholar
Surdam, R. S., Dunn, T. L., McGowan, D. B. and Heasler, H. P., 1989, Conceptual models for the prediction of porosity evolution with an example from the Frontier Sandstone, Bighorn Basin, Wyoming, in: Petro Genesis and Petrophysics of Selected Sandstone Reservoirs of the Rocky Mountain Region, Rocky Mountain Association of Geologists, Denver, CO.Google Scholar
Swarbrick, R. E., 2002, Challenges of porosity-based pore pressure prediction, CSEG Recorder, 27(7), 7477.Google Scholar
Swarbrick, R. E. and Osborne, M. J., 1998, Mechanisms that generate abnormal pressures: An overview, AAPG Mem, 70, 1334.Google Scholar
Swarbrick, R. E., Osborne, M. J. and Yardley, G. S., 2002, Comparison of overpressure magnitude resulting from the main generating mechanisms, AAPG Mem, 76, 112.Google Scholar
Swarbrick, R. E., Osborne, M. J. and Yardley, G. S., 2014, Identifying the presence of secondary overpressure generating mechanisms in Jurassic shales, UK-Sector, Central North Sea, EAGE Conference and Exhibition.Google Scholar
Sweeney, J. J., Burnham, A. K. and Braun, R. L., 1987, A model of hydrocarbon generation from type I kerogen: Application to Uinta Basin, Utah, Bull AAPG, 71, 967985.Google Scholar
Szydlik, T., Helgesen, H. K., Brevik, I., De Prisco, G., Anthony, C., Kvamme, O. L., Duffaut, K., Stadtler, C. and Cogan, M., 2015, Geophysical basin modeling: Methodology and application in deepwater Gulf of Mexico, Interpretation, 3, SZ49–SZ58.Google Scholar
Tamimi, N., Tsvankin, I. and Davis, T. L., 2015, Estimation of VTI parameters using slowness-polarization inversion of P and SV waves, J Seismic Explor, 24, 455474.Google Scholar
Taner, M. T. and Koehler, F., 1969, Velocity spectra – Digital computer derivation and applications of velocity functions, Geophysics, 34, 859881.Google Scholar
Tang, X.-M. and Cheng, A., 2004, Quantitative Borehole Acoustic Methods, Handbook of Geophysical Exploration: Seismic Exploration, vol. 24, Pergamon, New York.Google Scholar
Tarantola, A., 1984, Linearized inversion of seismic reflection data, Geophys Prospect, 32, 9981015.Google Scholar
Tarantola, A., 1987, Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation, Elsevier, New York.Google Scholar
Tarantola, A., 2005, Inverse Problem Theory and Methods for Model Parameter Estimation, SIAM, Philadelphia.Google Scholar
Terzaghi, K., 1923, Die Berechnung der Durchlass igkeitsziffer des Tones aws dem Verlanf der Hydrodynamischen Spannungsercheinungen, Sb Akad Wiss Wien, 132, 125138.Google Scholar
Terzaghi, K., 1925, Principles of soil mechanics. IV. Settlement and consolidation of clay, Eng News-Rec., 95, 874878.Google Scholar
Terzaghi, H., 1943, Theoretical Soil Mechanics, John Wiley, New York.Google Scholar
Terzaghi, K. and Peck, R. P., 1968, Soil Mechanics in Engineering Practice, Wiley, New York.Google Scholar
Thomas, E. C. and Stieber, S. J., 1975, The distribution of shale in sandstones and its effect upon porosity, Annual SPWLA Logging Symposium.Google Scholar
Thomas, L. K., Katz, D. L. and Ted, M. R., 1968, Threshold pressure phenomena in porous media, Trans SPE, 243, 174184.Google Scholar
Thomsen, L., 1986, Weak elastic anisotropy, Geophysics, 51, 19541966.CrossRefGoogle Scholar
Thomsen, L., 2002, Understanding seismic anisotropy in exploration and exploitation, SEG-EAGE Distinguished Instructor Series 5.Google Scholar
Thurston, R. N. and Brugger, K., 1964, Third-order elastic constants and the velocity of small amplitude elastic waves in homogeneously stressed media, Phys Rev, 133, A1604A1610.Google Scholar
Tillner, E., Shi, J.-Q., Bacci, G., Nielsen, C. M., Frykman, P., Dalhoff, F. and Kempka, T., 2014, Coupled dynamic flow and geomechanical simulations for an integrated assessment of CO2 storage impacts in a saline aquifer, Energy Procedia, 63, 28792893.Google Scholar
Timko, D. J. and Fertl, W. H., 1972, How downhole temperatures, pressures affect drilling: Predicting hydrocarbon environments with wireline data, World Oil, 175(5).Google Scholar
Timur, A., 1987, Acoustic logging, in: Bradley, H. B. (ed.), Petroleum Engineering Handbook, Society of Petroleum Engineers, Richardson, TX, pp. 51112.Google Scholar
Tissot, B. P. and Welte, D. H., 1978, Petroleum Formation and Occurrence: A New Approach to Oil and Gas Exploration, Springer, New York.Google Scholar
Toksoz, M. N., Cheng, C. H. and Timur, A., 1976, Velocities of seismic waves in porous rocks, Geophysics, 41, 621645.CrossRefGoogle Scholar
Toksoz, M. N., Johnston, D. H. and Timur, A., 1978, Attenuation of seismic waves in dry and saturated rocks: I. Laboratory measurements, Geophysics, 44, 681690.CrossRefGoogle Scholar
Toldi, J., 1985, Velocity analysis without picking, SEG Technical Program, expanded abstracts.Google Scholar
Tosaya, C., 1982, Acoustic properties of clay bearing rocks, PhD dissertation, Stanford University.Google Scholar
Traugott, M., 1997, Pore pressure and fracture pressure determinations in deepwater, Deepwater Technology Supplement to World Oil.Google Scholar
Traugott, M. O. and Heppard, P. D., 1994, Prediction of pore pressure before and after drilling – taking the risk out of drilling overpressured prospects, AAPG Hedberg Res Conf, 70, 215246.Google Scholar
Tsvankin, I., 1995, Normal moveout from dipping reflectors in anisotropic media, Geophysics, 60, 268284.Google Scholar
Tsvankin, I., 1996, P-wave signatures and notation for transversely isotropic media: An overview, Geophysics, 61, 467483.Google Scholar
Tsvankin, I., 1997, Anisotropic parameters and P‐wave velocity for orthorhombic media; geophysics, Geophysics, 62, 12921309.Google Scholar
Tsvankin, I. and Thomsen, L., 1994, Non-hyperbolic reflection moveout in anisotropic media, Geophysics, 59, 12901304.Tsavankin, I., Gaiser, J., Grechka, V., van der Baan, M. and Thomsen, L., 2003, Seismic anisotropy in exploration and reservoir characterization: An overview, www.cwp.mines.edu/Meetings/Project10/cwp-642P.pdf.Google Scholar
Tsuji, T., Dvorkin, J., Mavko, G., Nakata, N., Matsuoka, T., Nakanishi, A., Kodaira, S. and Nishizawa, O., 2011, VP/VS ratio and shear-wave splitting in the Nankai Trough seismogenic zone: Insights into effective stress, pore pressure, and sediment consolidation, Geophysics, 76, WA71–WA82.Google Scholar
Tura, A. and Lumley, D. E., 1999, Estimating pressure and saturation changes from time-lapse AVO data, SEG Annual Meeting, expanded abstracts.Google Scholar
Ungerer, P. L. and Mudford, B. S., 1992, A two-dimensional model of overpressure development and gas accumulation in Venture field, Eastern Canada, AAPG Bull, 76, 318338.Google Scholar
Valle, R. D., Kerdan, T., Leon, A., Renteria, J. and Diaz, M., 2017, Seismic attenuation workflow for lithology and fluid interpretation, AAPG/SEG International Conference & Exhibition Search and Discovery, 42035.Google Scholar
Van Heerden, W. L., 1978, General relations between static and dynamic moduli of rocks, Int J Rock Mech Min Sci Geomech Abstr, 24(6), 381385.Google Scholar
Vasseur, G., Djeran, M. I., Grunberger, D., Rousset, G., Tessier, D. and Velde, B., 1995, Evolution of structural and physical parameters of clays during experimental compaction, Mar Pet Geol, 12, 941954.Google Scholar
Vavra, C. L., Kaldi, J. G. and Sneider, R. M., 1992, Geological applications of capillary pressure: A review, AAPG Bull, 76, 840850.Google Scholar
Velde, B., 1996, Compaction trends of clay-rich deep sea sediments, Mar Geol, 133(3–4), 193201.Google Scholar
Vieira, F., Liconga, N., Santos, C., Bonfim, O., Navarro, N. and Jones, R. L., 2014, The Dynamic kill case study, SPE-170292-MS.Google Scholar
Vigh, D., Starr, E. W. and Kapoor, J., 2009, Developing earth model with full waveform inversion, Leading Edge, 28, 432435.Google Scholar
Vigh, D., Moldoveanu, N., Jiao, K., Huang, W. and Kapoor, J., 2013, Ultra long-offset data acquisition can complement full-waveform inversion and lead to improved sub-salt imaging, Leading Edge, 32, 11161122.Google Scholar
Vigh, D., Lewis, W., Parekh, C., Jiao, K. and Kapoor, J., 2015, Introducing well constraints in full waveform inversion and its applications in time-lapse seismic measurements, SEG Annual Meeting.Google Scholar
Virieux, J. and Operto, S., 2009, An overview of full-waveform inversion in exploration geophysics, Geophysics, 74, 127152.Google Scholar
Vutukuri, V. S., 1978, Handbook on Mechanical Properties of Rocks, vol. II, Trans Tech Publications, Clausthal, Germany.Google Scholar
Voigt, W., 1910, Lehrbuch der Kristallphysik, Leipzig University, Berlin.Google Scholar
Walker, C. W., 1976, Origin of Gulf Coast salt-dome cap rock, AAPG Bull, 60, 21622166.Google Scholar
Walton, K., 1987, The effective elastic moduli of a random packing of spheres, J Mech Phys Solids, 35, 213226.Google Scholar
Wang, B., Pann, K. and Meek, R. A., 1995, Macro velocity model estimation through model‐based globally‐optimized residual‐curvature analysis, SEG Technical Program expanded abstracts.Google Scholar
Wang, H. F., 2000, Theory of Linear Poroelasticity with Applications to Geomechanics and Hydrogeology, Princeton University Press, Princeton, NJ.Google Scholar
Wang, Z., 1997, Seismic properties of carbonate rocks, in: Palaz, I. and Marfurt, K. J. (eds.), Carbonate Seismology, Society of Exploration Geophysicists, Tulsa, OK.Google Scholar
Wang, Z. and Nur, A. (eds.), 2000, Seismic and Acoustic Velocities in Reservoir Rock, vol. 3, Geophysics Reprint Series 19, Society of Exploration Geophysicists, Tulsa, OK.Google Scholar
Wang, Z., Wang, H. and Cates, M. E., 2001, Effective elastic properties of solid clays, Geophysics, 66, 428440.Google Scholar
Wangen, M., 1992, Pressure and temperature evolution in sedimentary basins, Geophys J Int, 110, 601603.Google Scholar
Wangen, M., 1993, A finite element formulation in Lagrangian coordinates for heat and fluid flow in compacting sedimentary basins, Int J Numer Anal Methods Geomech, 15, 705733.Google Scholar
Wangen, M., 2010, Physical Principles of Sedimentary Basin Analysis, Cambridge University Press, Cambridge.Google Scholar
Ward, C. D., Coghill, K. and Broussard, M. D., 1995, Brief: Pore- and fracture-pressure determinations: Effective stress approach, SPE 30141.Google Scholar
Waters, K. H., 1978, Reflection Seismology, Wiley, New York.Google Scholar
Watts, N. L., 1987, Theoretical aspects of cap-rock and fault seals for single and two-phase hydrocarbon columns, Mar Pet Geol, 4, 274307.Google Scholar
Weakley, R. R., 1989, Recalibration techniques for accurate determinations of formation pore pressures from shale resistivity, SPE 19563.CrossRefGoogle Scholar
Weaver, C. E., 1979, Geothermal alteration of clay minerals and shales: Diagenesis, Technical Report ONWI-21, Georgia Institute of Technology.Google Scholar
Weingarten, J. S. and Perkins, T. K., 1995, Prediction of sand production in gas wells: Methods and Gulf of Mexico case studies, J Pet Technol, 47, 596600.Google Scholar
Weiren, L., Yamamoto, K., Ito, H., Masago, H. and Kawamura, Y., 2008, Estimation of minimum principal stress from an extended leak-off test onboard the Chikyu drilling vessel and suggestions for future test procedures, Sci Drill, 6, 4347.Google Scholar
Weller, J. M., 1959, Compaction of sediments, AAPG Bull, 43, 273310.Google Scholar
Wells, J. D. and Amafuele, J. O., 1985, Capillary pressure and permeability relationships in tight gas sands, SPE 13879.Google Scholar
Welte, D. H., Horsfield, B. and Baker, D. R. (eds.), 1997, Petroleum and Basin Evolution, Springer, New York.Google Scholar
Wessling, S., Pei, J., Dahl, T., Wendt, B., Marti, S. and Stevens, J., 2009, Calibrating fracture gradients – an example demonstrating possibilities and limitations, International Petroleum Technology Conference.Google Scholar
Wessling, S., Bartetzko, A. and Tesch, P., 2013, Quantification of uncertainty in a multistage /multi-parameter modeling workflow: Pore pressure from geophysical well logs, Geophysics, 78, WB101–WB112.Google Scholar
White, A. J., Traugott, M. O. and Swarbrick, R. E., 2002, The use of leak-off tests as means of predicting minimum in situ stress, Pet Geosci, 8, 189193.Google Scholar
White, B. G., Larson, M. and Iverson, S. R., 2004, Origin of mining-induced fractures through macroscale distortion, Gulf Rocks 2004, North American Rock Mechanics Symposium.Google Scholar
White, J. E., 1975, Computed seismic speeds and attenuation in rocks with partial gas saturation, Geophysics, 40, 224232.Google Scholar
Wilhelm, R., 1998, Seismic pressure-prediction method solves problem common in deepwater Gulf of Mexico, Oil Gas J, 41, 1520.Google Scholar
Winker, C. D. and Booth, J. R., 2000, Sedimentary Dynamics of the Salt-Dominated Continental Slope, Gulf of Mexico: Integration of Observations from the Seafloor, Near-Surface, and Deep Subsurface, Deep-Water Reservoirs of the World by Paul Weimer, SEPM Soc Sediment Geol, 20, 10591086.Google Scholar
Winker, C. D. and Stancliffe, R. J., 2007, Geology of shallow-water flow at Ursa: 1. Setting and causes, Offshore Technology Conference.CrossRefGoogle Scholar
Wojtanowicz, A. K., Bourgoyne, A. T., Zhou, D. and Bender, K., 2000, Strength and fracture gradients for shallow marine sediments, final report, US MMS, Herndon, VA.Google Scholar
Wood, A. B., 1941, A Text Book of Sound, Macmillan, Cambridge.Google Scholar
Woodward, M., Nichols, D., Zadraveva, O., Whitfield, P. and Johns, T., 2008, A decade of tomography, Geophysics, 73, VE5–VE11.Google Scholar
Wu, Y. and McMechan, G. A., 2018, Feature-capturing full-waveform inversion using a convolutional neural network, SEG Technical Program expanded abstracts.Google Scholar
Wyllie, M. R. J., 1983, Fundamentals of Well Log Interpretation, Academic Press, New York.Google Scholar
Wyllie, M. R. J. and Gregory, A. R., 1953, Formation factors of unconsolidated porous media: Influence of particle shape and effect of cementation, Trans Am Inst Mech Eng, 198, 103110.Google Scholar
Wyllie, M. R. J., Gregory, A. R. and Gardner, L. W., 1956, Elastic wave velocities in heterogeneous and porous media, Geophysics, 21, 4170.Google Scholar
Wyllie, M. R. J., Gregory, A. R. and Gardner, G. H. F., 1958, An experimental investigation of factors affecting elastic wave velocities in porous media, Geophysics, 23, 459493.Google Scholar
Wyllie, M. R. J., Gardner, G. H. F. and Gregory, A. R., 1963, Studies of elastic wave attenuation in porous media, Geophysics, 27, 569589.Google Scholar
Wyllie, P. J. (ed.), 1967, Ultramafic and Related Rocks, Wiley, New York.Google Scholar
Yamamoto, K., 2003, Implementation of the extended leak-off test in deep wells in Japan, in: Sugawara, K., et al. (ed.), Proceedings of the Third International Symposium on Rock Stress, Kumamoto ‘03, Rotterdam, Balkema, Netherlands, pp. 225229.Google Scholar
Yang, X.-S., 2006, Theoretical Basin Modeling, Diggory Press, London.Google Scholar
Yang, Y. and Aplin, A. C., 2004, Definition and practical application of mudstone porosity – effective stress relationships, Pet Geosci, 10, 153162.Google Scholar
Yang, Y. and Mavko, G., 2018, Mathematical modeling of microcrack growth in source rock during kerogen thermal maturation, AAPG Bull, 102, 25192535.Google Scholar
Yilmaz, O., 1987, Seismic data processing, in: Investigations in Geophysics, no. 2, Society of Exploration Geophysicists, Tulsa, OK.Google Scholar
Yilmaz, O., 2001, Seismic data analysis: Processing, inversion, and interpretation of seismic data, in: Investigations in Geophysics, no. 10, Society of Exploration Geophysicists, Tulsa, OK.Google Scholar
Yin, H., 1992, Acoustic velocity and attenuation in rocks: Isotropy, intrinsic anisotropy, and stress-induced anisotropy, PhD dissertation, Stanford University.Google Scholar
Yin, H., Han, D. H. and Nur, A., 1988, Study of velocity and compaction on sand-clay mixtures, Stanford Rock and Borehole Project, vol. 33.Google Scholar
York, P. L., Prichard, D. M., Dodson, J. K., Dodson, T., Rosenberg, S. M., Gala, D. and Utama, B., 2009, Eliminating non-productive time associated with drilling through trouble zones, Offshore Technology Conference.Google Scholar
Young, R. A., Pankratov, A. B. and Greve, J. F., 2004, Method of seismic signal processing, US Patent 6681185.Google Scholar
Yu, F., Jin, Y., Chen, K. P. and Chen, M., 2014, Pore-pressure prediction in carbonate rock using wavelet transformation; Geophysics, 79, D243D252.Google Scholar
Yu, H., Chen, G. and Gu, H., 2020, A new multivariate pore-pressure prediction method based on machine learning, Comput Geosci, in press.Google Scholar
Zamora, M., 1989, New method predicts fracture gradient, Petroleum Engineer International, September, pp. 3847.Google Scholar
Zamora, M., 1972, Slide rule correlation aids “d” exponent use, Oil Gas J, December 18.Google Scholar
Zhang, G., Wang, Z. and Chen, Y., 2018, Deep learning for seismic lithology prediction, Geophys J Int, 215, 13681387.Google Scholar
Zhang, J., Standifird, W. B. and Lenamond, C., 2008, Casing ultradeep, ultralong salt sections in deep water: a case study for failure diagnosis and risk mitigation in record-depth well, SPE Annual Technical Conference and Exhibition.Google Scholar
Zhang, J., 2011, Pore pressure prediction from well logs: Methods, modifications, and new approaches, Earth Sci Rev, 108, 5063.Google Scholar
Zhang, J. and Wieseneck, J., 2011, Challenges and surprises of abnormal pore pressure in shale gas formations, SPE 145964.Google Scholar
Zhang, J. and Yin, S., 2017, Fracture gradient prediction: An overview and an improved method, Pet Sci, 14, 720730.Google Scholar
Zhang, Y. and Zhang, J., 2017, Lithology-dependent minimum horizontal stress and in situ stress estimate, Tectonophysics, 703–704, 18.Google Scholar
Zhdanov, M. S., 2017, Foundations of Geophysical Electromagnetic Theory and Methods, 2nd ed., Elsevier, New York.Google Scholar
Zhou, Z.-Z., Howard, M. and Mifflin, C., 2011, Use of RTM full 3D subsurface angle gathers for subsalt velocity update and image optimization: Case study at Shenzi field, Geophysics, 76, WB27–WB39.Google Scholar
Zimmer, M., Prasad, M. and Mavko, G., 2002, Pressure and porosity influences on VP-VS ratios in unconsolidated sands, Leading Edge, 21, 178, 183.Google Scholar
Zimmerman, R. W., 1991, Compressibility of Sandstones, Development in Petroleum Sciences 29, Elsevier Science, New York.Google Scholar
Zoback, M. D., 2007, Reservoir Geomechanics, Cambridge University Press, Cambridge.Google Scholar
Zong, Z., Yin, X. and Wu, G., 2012, Elastic impedance variation with angle inversion for elastic parameters, J Geophys Eng, 9, 247260.Google Scholar

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