Hostname: page-component-5c6d5d7d68-txr5j Total loading time: 0 Render date: 2024-08-15T23:36:37.419Z Has data issue: false hasContentIssue false

Fluid and Solute Transport in a Network of Channels

Published online by Cambridge University Press:  25 February 2011

Luis Moreno
Affiliation:
Department of Chemical Engineering Royal Institute of Technology S-100 44 Stockholm, Sweden
Ivars Neretnieks
Affiliation:
Department of Chemical Engineering Royal Institute of Technology S-100 44 Stockholm, Sweden
Get access

Abstract

A model is proposed to describe flow and transport in fractured rocks. It is based on the concept of a network of channels. This approach is backed by observations in drifts and tunnels that flow in fractured rocks takes place in sparse narrow channels with widths typically less than 10 cm and a channel frequency of one channel per a few square meters to one channel per more than a hundred square meters. Observations in boreholes also indicate that there are large distances, tens to hundreds of meters, between the most conductive sections in boreholes.

For visualization purposes our model is displayed on a rectangular grid. The individual channels are given stochastically selected conductances and volumes. Flowrate calculations have been performed in grids of sizes 20*20*20 channels in most cases but larger grids have also been used. For large standard.deviations in conductances, greater than 1.6 in the log normal distribution (base 10), channeling becomes pronounced with most of the water flowing in a few paths. The effluent patterns and flowrate distributions obtained in the simulations have been compared to three different field measurements in drifts and tunnels. Standard deviations of channels conductances were found to be between 1.6 and 2.4 or more in some cases. Channel lengths were found to vary between 1.2 m and 10.2 m in the different sites. In one site where detailed borehole measurements were available the channel length could be assessed independently and was found to be 1.2 m as compared to the 1.7 m obtained from the drift inflow measurements.

A particle tracking technique was used to simulate solute transport in the network. Nonsorbing as well as sorbing tracer transport can be simulated and by a special technique also tracers which diffuse into the rock matrix can be simulated.

Tracer measurements in one site, Stripa, were used to compare dispersivities. These were found to be large, having Peclet numbers less than 5 both in simulations and the field results. From the Stripa tracer data it was also found that the tracers were taken up into the rock matrix by molecular diffusion. The surface area needed for this uptake was estimated to be between 0.2-20 m2/m3 for different tracers. The wetted surface for the model estimated from flowrate distribution data indicate a wetted surface of 0.2- 0.4 m2/m3.

Type
Research Article
Copyright
Copyright © Materials Research Society 1992

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 Abelin, H., Birgersson, L., Gidlund, J., Moreno, L., Neretnieks, I., Widen, H., Agren T, 3-D migration experiment - Report 3, Part I, Performed experiments, Results and Evaluation, Stripa Project Technical Report 87-21, Stockholm Nov. 1987 Google Scholar
2 Neretnieks, I., Abelin, H., Birgersson, L. Some recent observations of channeling in fractured rocks. Its potential impact on radionuclide migration, In DOE/AECL conference Sept 15-17, 1987, San Francisco, Proceedings p 387410, 1987 Google Scholar
3 Dverstorp, B. Analyzing flow and transport in fractured rock using the discrete fracture network concept. Ph.D. Thesis Royal Institute of Technology, Dep. Hydraulic Engineering TRITA-VBI-151 Stockholm 1991 Google Scholar
4 Cacas, M.C., de Marsily, G., Tillie, B., Barbreau, A., Durand, E., Feuga, B., Peaudecerf, P. Modelling fracture flow with a stochastic discrete fracture network: calibration and validation - 1 The flow model, Water Resources Res., 26, p 479489, 1990aGoogle Scholar
5 Cacas, M.C., Ledoux, E., de Marsily, G., Barbreau, A., Calmels, P., Gaillard, B., Margritta, R. Modelling fracture flow with a stochastic discrete fracture network: calibration and validation - 2 The transport model, Water Resources Res., 26, p491500, 1990bGoogle Scholar
6 Moreno, L., Tsang, Y.W., Tsang, C.F., Hale, F.V., Neretnieks, I. Flow and tracer transport in a single fracture. A stochastic model and its relation to some field observations, Water Resources Research, 24, p 20333048, 1988 CrossRefGoogle Scholar
7 Abelin, H., Birgersson, L., Neretnieks, I., Agren, T. A channeling experiment to study flow and transport in natural fractures, In Scientific Basis for Nuclear Waste Management XII, Berlin Nov 1988, Proceedings, p 661668, 1989Google Scholar
8 Neretnieks, I., Diffusion in the Rock Matrix: An Important Factor in Radionuclide Retardation? J. Geophys. Res. 85, p 43794397, 1980 Google Scholar
9 Yamashita, R., Kimura, H., Particle-tracking technique for nuclide decay chain transport in fractured porous media, Journal of Nuclear Science and Technology, 27, p 10411049, 1990.CrossRefGoogle Scholar
10 Palmqvist, K., Lindström, M. Channel widths. SKB Arbetsrapport 91–06. February 1991 Google Scholar
11 Geir, J., Dershowitz, W., Sharp, G. Prediction of inflow into the D-holes in the Stripa mine. Stripa Project Technical Report 90–06. OECD/NEA, SKB April 1990 Google Scholar