Skip to main content
Log in

Upscaling conductivity and porosity in three-dimensional heterogeneous porous media

  • Articles
  • Published:
Chinese Science Bulletin

Abstract

An empirical formula is presented to upscale the conductivity of 3-dimensional heterogeneous porous media, in which the distribution of local-scale conductivity is non-Gaussian with a high variance. The upscaled conductivity is determined as a function of the volumetric proportion, the spatial connectivity and the statistical geometric length of high-permeable inclusions, and the arithmetic mean of conductivities of all hydrofacies. A systematic comparison to other traditional upscaling methods indicates that this empirical formula provides a better estimation of the equivalent conductivity. In the second part of this study, numerical experiments of solute migration reveal that porosity also needs to be upscaled to capture the transport of contaminants in a heterogeneous medium using an effective or upscaled homogeneous medium. This is due to the tendency of contaminants to be preferrentially transported by 3-dimensional pathways composed of high-permeable materials in heterogeneous aquifer systems. The apparent difference between the actual transport velocity of contaminants and the upscaled velocity, based on the equivalent conductivity, forces upscaling of porosity. Further systematic analyses demonstrate that the upscaled porosity follows a non-linear trend as the content of high-permeable sediments decreases. Resultant upscaled porosity, with values varying between 0.004 and 1.5, is beyond the definition of the traditional porosity on the representative elementary volume (REV) scale. When the content of high-permeable materials is less than 30%, the upscaling of porosity is critical in the simulation of the contaminant transport in a heterogeneous medium using an upscaled, homogeneous counterpart.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Pinczewski, W. V., Paterson, L., Preface: Transport in Porous Media, 2002, 46: 117.

    Article  Google Scholar 

  2. Wen, X. H., Gomez-Hernandez, J. J., Upscaling hydraulic conductivities in heterogeneous media: An overview, Journal of Hydrology, 1996, 183(1–2): ix-xxxii.

    Article  Google Scholar 

  3. Renard, P., Marsily, G. de., Calculating equivalent permeability: A review, Advances in Water Resources, 1997, 20(5–6): 253–278.

    Article  Google Scholar 

  4. Gomez-Hernandez, J. J., Effective parameter estimation for flow and transport in the subsurface, Special publication, Journal of Hydrology, 1996, 183(1–2): 1–190.

    Google Scholar 

  5. Pinczewski, W. V., Paterson, L., Upscaling Downunder, Special publication, Transport in Porous Media, 2002, 46: 117–190.

    Article  Google Scholar 

  6. Knudby, C., Carrera, J., Fogg, G. E., An empirical method for the evaluation of the equivalent conductivity of low-permeable matrices with high-permeable inclusions, Proceedings of the International Groundwater Symposium, Bridging the Gap between Measurement and Modeling in Heterogeneous Media. (ed. Findikakis, A. N.), Berkeley: Lawrence Berkeley National Laboratory, 2002.

    Google Scholar 

  7. Gelhar, L. W., Axness, C. L., Three-dimensional stochastic analysis of macrodispersion in aquifers, Water Resources Research, 1983, 19(1): 161–180.

    Article  Google Scholar 

  8. Dykaar, B. B., Kitanidis, P. K., Determination of the effective hydraulic conductivity for heterogeneous porous media using a numerical spectral approach, 1. Method, Water Resources Research, 1992, 28(4): 1155–1166.

    Article  Google Scholar 

  9. Dagan, G., High-order correction of effective permeability of heterogeneous isotropic formations of log-normal conductivity distribution, Transport in Porous Media, 1993, 12: 279–290.

    Article  Google Scholar 

  10. Carle, S. F., Fogg, G. E., Modeling spatial variability with oneand multi-dimensional continuous Markov chains, Mathematical Geology, 1997, 29(7): 891–918.

    Article  Google Scholar 

  11. Deutsch, C. V., Fortran programs for calculating connectivity of three-dimensional numerical models and for ranking multiple realizations, Computers and Geosciences, 1998, 24(1): 69–76.

    Article  Google Scholar 

  12. Weissmann, G. S., Zhang, Y., LaBolle, E. M. et al., Dispersion of groundwater age in an alluvial aquifer system, Water Resources Research, 2002, 38(10): 1198.

    Article  Google Scholar 

  13. Zhang, Y., Fogg, G. E., Simulation of multi-scale heterogeneity of porous media and parameter sensitivity analysis, Science in China, Series E, 2003, 46(5): 459–474.

    Google Scholar 

  14. Koltermann, C. E., Gorelick, S. M., Heterogeneity in sedimentary deposits: A review of structure-imitating, process imitating, and descriptive approaches, Water Resources Research, 1996, 32: 2617–2658.

    Article  Google Scholar 

  15. Brown, W. F., Solid mixture permitivities, Journal of Chemical Physic, 1955, 23(8): 1514–1517.

    Article  Google Scholar 

  16. Dagan, G., Analysis of flow through heterogeneous random aquifers by the method of embedding matrix, 1. Steady flow, Water Resources Research, 1981, 17(1): 107–122.

    Article  Google Scholar 

  17. Noetinger, B., The effective permeability of a heterogeneous porous medium, Transport in Porous Media, 1994, 15: 99–127.

    Article  Google Scholar 

  18. Webb, E. K., Anderson, M. P., Simulation of preferential flow in three-dimensional heterogeneous conductivity fields with realistic internal architecture, Water Resources Research, 1996, 32: 533–545.

    Article  Google Scholar 

  19. Gomez-Hernandez, J. J., Wen, X. H., To be or not to be multi-Gaussian? A reflection on stochastic hydrology, Advances in Water Resources, 1998, 21(1): 47–61.

    Article  Google Scholar 

  20. Fogg, G. E., Carle, S. F., Green, C., Connected-network paradigm for the alluvial aquifer system, Theory, Modeling and Field Investigation in Hydrogeology: A Special Volume in Honor of Shlomo P. Neuman’s 60th Birthday (eds. Zhang, D., Winter, C. L.), Boulder: Geological Society of America Special Paper 348, 2000, 25–42.

  21. Loague, K., Abrams, R. H., Davis, S. N. et al., A case study simulation of DBCP groundwater contamination in Fresno County, California, 2. Transport in the saturated subsurface, Journal of Contaminant Hydrology, 1998, 29: 137–163.

    Article  Google Scholar 

  22. LaBolle, E. M., Fogg, G. E., Role of molecular diffusion in contaminant migration and recovery in an alluvial aquifer system, Transport in Porous Media, 2001, 42: 155–179.

    Article  Google Scholar 

  23. Hassan, A. E., Mohamed, M. M., On using particle tracking methods to simulate transport in single-continuum and dual continua porous media, Journal of Hydrology, 2003, 275: 242–260.

    Article  Google Scholar 

  24. Guswa, A. J., Freyberg, D. L., Slow advection and diffusion through low permeability inclusions, Journal of Contaminant Hydrology, 2000, 46(3–4): 205–232.

    Article  Google Scholar 

  25. Charbeneau, R. J., Groundwater Hydraulics and Pollutant Transport, New Jersey: Prentice-Hall, Inc., 2000, 9.

    Google Scholar 

  26. Peters, J. F., Howington, S. E., Holland, J. P. et al., Highperformance computing as a tool for groundwater cleanup, Journal of Hydraulic Research, 1998, 36(6): 897–912.

    Article  Google Scholar 

  27. Bauer, S., Fulda, C., Schafer, W., A multi-tracer study in a shallow aquifer using age dating tracers3H,85Kr, CFC-113 and SF6-indication for retarded transport of CFC-113, Journal of Hydrology, 2001, 248: 14–34.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yong Zhang.

About this article

Cite this article

Zhang, Y. Upscaling conductivity and porosity in three-dimensional heterogeneous porous media. Chin.Sci.Bull. 49, 2415–2423 (2004). https://doi.org/10.1007/BF03183431

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03183431

Keywords

Navigation