Hostname: page-component-77c89778f8-7drxs Total loading time: 0 Render date: 2024-07-16T22:40:13.101Z Has data issue: false hasContentIssue false

Estimation of the Radionuclide Transport by Applying the Mean, the Standard Deviation and the Skewness of Permeability

Published online by Cambridge University Press:  03 September 2012

Y. Niibori
Affiliation:
Department of Quantum Science and Energy Engr., Tohoku University, Sendai 980–77Japan
O. Tochiyama
Affiliation:
Department of Quantum Science and Energy Engr., Tohoku University, Sendai 980–77Japan
T. Chida
Affiliation:
Department of Geoscience and Technology Engr., Tohoku University, Sendai 980–77Japan
Get access

Abstract

A new method for estimating the mass transport by using the stochastic values (the arithmetic mean, the standard deviation and the skewness) of permeability is presented. Generally, detail of permeability distribution cannot be obtained except for moments of the distribution. Also, measurement results of permeability for the rock matrix including cracks or fast flowpaths do not always follow the log-normal distribution frequently applied. In such a situation, we must evaluate the characteristic permeabilities for the whole or some regions of the disposal site including the accessible environment.

The authors have investigated the characteristic permeability on the basis of some probability density functions of permeability, applying the Monte Carlo method and FEM. It was found that its value does not depend on type of probability density function of permeability, but on the arithmetic mean, the standard deviation and the skewness of permeability [1].

This paper describes the use of the stochastic values of permeability for estimating the rate of radioactivity release to the accessible environment, applying the advection-dispersion model to two-dimensional, heterogeneous media. When a discrete probability density function (referred to as ‘the Bernoulli trials’) and the lognormal distribution have common values for the arithmetic mean, the standard deviation and the skewness of permeability, the calculated transport rates (described as the pseudo impulse responses) show good agreements for Peclet number around 10 and the dimensionless standard deviation around 1. Further, it is found that the transport rates apparently depends not only on the arithmetic mean and the standard deviation, but also on the skewness of permeability. When the value of skewness dose not follow the lognormal distribution which has only two independent parameters (the mean and the standard deviation), we can replicate the three moments estimated from an observed distribution of permeability, by using the Bernoulli trials having three independent parameters.

Type
Research Article
Copyright
Copyright © Materials Research Society 1997

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Niibori, Y. and Chida, T.: The Use of Standard Deviation and Skewness for Estimating Apparent Permeability in Two-Dimensional, Heterogeneous Medium, Transport in Porous Media, 15, 114 (1994)Google Scholar
2. Gylling, B., Moreno, L. and Neretnieks, I.: A Channel-Network-Model for Radionuclide Transport in Fractured Rock-Testing Against Field Data, in Scientific Basis for Nuclear Waste Management XVIII, edited by Murakami, T. and Ewing, R.C. (Mater. Res. Soc. Proc, 353, Pittsburgh, PA, 1995), pp. 395402.Google Scholar
3. Chesnut, D.A.: Groundwater Flux, Travel Time, and Radionuclide Transport, in Scientific Basis for Nuclear Waste Management XVIII, edited by Murakami, T. and Ewing, R.C. (Mater. Res. Soc. Proc, 353, Pittsburgh, PA, 1995), pp. 463470.Google Scholar
4. Nordqvist, A.W., Tsang, Y.W., Tsang, C.F., Deverstop, B. and Andersson, J.: A variable aperture fracture network model for flow and transport in fractured rocks, Water Resour. Res., 28, 17031713 (1992).Google Scholar
5. Dverstorp, B., Andersson, J. and Nordqvist, W.: Discrete Fracture Network Interpretation of Field Tracer Migration in Sparsely Fractured Rock, Water Resour. Res., 28, 23272343 (1992)Google Scholar
6. Moreno, L., Tsang, C.F., Tsang, Y., and Neretnieks, I.: Some anomalous features of flow and solute transport arising from fracture aperture variability, Water Resour. Res., 26, 23772391 (1990)Google Scholar
7. Neretnieks, I.: Diffusion in the Rock Matrix: An Important Factor in Radionuclide Retardation?, Water Resour. Res., 85, 43794397 (1980)Google Scholar
8. Grindrod, P., McEwen, , Robinson, P. and Savege, D.: Chapter 5 The far-field, in The Scientific and Regulatory Basis for the Geological Disposal of Radioactive Waste, edited by Savege, D. (John Wiley & Sons, Chichester, 1995), pp. 119183.Google Scholar
9. Chapman, N.A., and McKinley, I.G.: The Geological Disposal of Nuclear Waste, (John Wiley & Sons, Chichester, 1987), pp. 108132.Google Scholar
10. Levenspoel, O.: ChemicaI Reaction Engineering, 2nd Edn., Wiley, New York, pp. 275278 (1972)Google Scholar
11. Niibori, Y., Ogura, H. and Chida, T.: Identification of Geothermal Reservoir Structure Analyzing Tracer Responses Using The Two-Fractured-Layer Model, Geothermics, 24, 4960 (1995)Google Scholar