Simulating the heterogeneity in braided channel belt deposits: 2. Examples of results and comparison to natural deposits

Water Resources Research

Volumn 46, Issue 4, 2010, Pages

  Guin, Arijit ^a   Ramanathan, Ramya ^a   Ritzi, Robert W ^a   Dominic, David F ^a   Lunt, Ian A ^b   Scheibe, Timothy D ^c   Freedman, Vicky L ^c  

^a WRIGHT STATE UNIVERSITY   (United States)

^b StatoilHydro Technology and New Energy   (Norway)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; ARCHITECTURE; GRAVEL; GROUNDWATER FLOW; HYDROGEOLOGY; SOLVENTS;

COMPOSITE PERMEABILITY; GEOLOGIC STRUCTURES; PERCOLATION THRESHOLDS; PERMEABILITY DISTRIBUTION; PREFERENTIAL FLOWS; QUANTITATIVE COMPARISON; SEDIMENTARY ARCHITECTURE; SPATIAL RELATIONSHIPS;

DEPOSITS;

BELT; DEPOSITIONAL ENVIRONMENT; GEOMETRY; HETEROGENEITY; NUMERICAL MODEL; PERCOLATION; PERMEABILITY; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION;

EID: 84988250071     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/2009WR008112     Document Type: Article

References (33)

1. Aarnes, J., S. Krogstad, and K.-A. Lie (2006), A hierarchical multiscale method for two-phase flow based upon mixed finite elements and non-uniform coarse grids, Multiscale Modell. Simul., 5 (2), 337-363, doi:10.1137/050634566.
2. Anderson, M. P. (1990), Aquifer heterogeneity-A geologic perspective, in Proceedings, Fifth Canadian American Conference on Hydrogeology, edited by S. Bachu, pp. 3-22, Alberta Res. Coun. and Natl. Ground Water Assoc., Edmonton, Canada.
3. Arbogast, T., L. C. Cowsar, M. F. Wheeler, and I. Yotov (2000), Mixed finite element methods on non-matching multiblock grids, SIAM J. Numer. Anal., 37(4), 1295-1315, doi:10.1137/S0036142996308447.
4. Bridge, J. S. (2003), Rivers and Floodplains, 491 pp., Blackwell, Oxford, U. K.
5. Bridge, J. S. (2006), Fluvial facies models: Recent developments, in Facies Models Revisited, SEPM Spec. Publ., 84, edited by H. W. Posamentier and R. G. Walker, pp. 85-170, Soc. for Sediment. Geol. (SEPM), Tulsa, Okla.
6. Caers, J., and T. Zhang (2004), Multiple -point geostatistics: A quantitative vehicle for integrating geologic analogs into multiple reservoir models, AAPG Mem., 80, 383-394.
7. Christie, M., and M. Blunt (2001), Tenth SPE comparative solution project: A comparison of upscaling techniques, SPE Reservoir Eng. Eval., 4, 308-317. (Available at www.spe.org/csp)
8. Dai, Z., R. W. Ritzi, and D. F. Dominic (2005), Improving permeability semivariograms with transition probability models of hierarchical sedimentary architecture derived from outcrop-analog studies, Water Resour. Res., 41, W07032, doi:10.1029/2004WR003515.
9. Durlofsky, L. J., Y. Efendiev, and V. Ginting (2007), An adaptive local-global multiscale finite volume element method for two-phase flow simulations, Adv. Water Resour., 30, 576-588, doi:10.1016/j.advwatres.2006.04.002.
10. Guin, A. (2009), The continuity of permeable pathways in sedimentary deposits, Ph.D. dissertation, Wright State Univ., Dayton, Ohio.
11. Guin, A., and R. W. Ritzi (2008), Studying the effect of correlation and finite domain size on spatial continuity of permeable sediments, Geophys. Res. Lett., 35(10), L10402, doi:10.1029/2007GL032717.
12. Harter, T. (2005), Finite-size scaling analysis of percolation in three-dimensional correlated binary Markov chain random fields, Phys. Rev. E, 72(2), 026120, doi:10.1103/PhysRevE.72.026120.
13. Hunt, A. (2005), Percolation Theory for Flow in Porous Media, 203 pp., Springer, Berlin.
14. Lee, S. Y., S. E. Carle, and G. E. Fogg (2007), Geologic heterogeneity and a comparison of two geostatistical models: Sequential Gaussian and transition probability -based geostatistical simulation, Adv. Water Resour., 30, 1914-1932, doi:10.1016/j.advwatres.2007.03.005.
15. Liu, G., C. Zheng, and S. M. Gorelick (2004), Limits of applicability of the advection-dispersion model in aquifers containing connected high-conductivity channels, Water Resour. Res., 40, W08308, doi:10.1029/2003WR002735.
16. Lunt, I. A. (2002), A three-dimensional, quantitative depositional model of gravelly braided river sediments with special reference to the spatial distribution of porosity and permeability, Ph.D. dissertation, State Univ. of N. Y. at Binghamton.
17. Lunt, I. A., and J. S. Bridge (2007), Formation and preservation of open-framework gravel strata in unidirectional flows, Sedimentology, 54, 71-87, doi:10.1111/j.1365-3091.2006.00829.x.
18. Lunt, I. A., J. S. Bridge, and R. S. Tye (2004), A quantitative, three-dimensional depositional model of gravelly braided rivers, Sedimentology, 51(3), 377-414, doi:10.1111/j.1365-3091.2004.00627.x.
19. Maji, R., E. A. Sudicky, S. Panday, and G. Teutsch (2006), Transition probability/Markov chain analysis of DNAPL source zones and plumes, Ground Water, 44(6), 853-863, doi:10.1111/j.1745-6584.2005.00194.x.
20. Ramanathan, R. (2009), Linking plume spreading to hierarchical stratal architecture, Ph.D. dissertation, Wright State Univ., Dayton, Ohio.
21. Ramanathan, R., R. Ritzi, and C. Huang (2008), Linking hierarchical stratal architecture to plume spreading in a Lagrangian-based transport model, Water Resour. Res., 44, W04503, doi:10.1029/2007WR006282.
22. Ramanathan, R., R. W. Ritzi Jr., and R. M. Allen-King (2010a), Linking hierarchical stratal architecture to plume spreading in a Lagrangian-based transport model: 2. Evaluation using new data from the Borden site, Water Resour. Res., 46, W01510, doi:10.1029/2009WR007810.
23. Ramanathan, R., A. Guin, R. W. Ritzi Jr., D. F. Dominic, V. L. Freedman, T. D. Scheibe, and I. A. Lunt (2010b), Simulating the heterogeneity in braided channel belt deposits: 1. A geometric- based methodology and code, Water Resour. Res., 46, W04515, doi:10.1029/2009WR008111.
24. Ritzi, R. W. (2000), Behavior of indicator semivariograms and transition probabilities in relation to the variance in lengths of hydrofacies, Water Resour. Res., 36(11), 3375-3381, doi:10.1029/2000WR900139.
25. Ritzi, R. W., and R. M. Allen-King (2007), Why did Sudicky [1986] find an exponential-like spatial correlation structure for hydraulic conductivity at the Borden research site?, Water Resour. Res., 43, W01406, doi:10.1029/2006WR004935.
26. Ritzi, R. W., Z. Dai, D. F. Dominic, and Y. N. Rubin (2004), Spatial correlation of permeability in cross-stratified sediment with hierarchical architecture, Water Resour. Res., 40, W03513, doi:10.1029/2003WR002420.
27. Ronayne, M. J., and S. M. Gorelick (2006), Effective permeability of porous media containing branching channel networks, Phys. Rev. E, 73, 026305, doi:10.1103/PhysRevE.73.026305.
28. Rubin, Y., A. Bellin, and A. Lawrence (2003), On the use of block-effective macrodispersion for numerical simulation of transport in heterogeneous formations, Water Resour. Res., 39 (9), 1242, doi:10.1029/2002WR001727.
29. Scheibe, T. D., and C. J. Murray (1998), Simulation of geologic patterns: A comparison of stochastic simulation techniques for groundwater transport modeling, in Hydrogeologic Models of Sedimentary Aquifers, Concepts Hydrogeol. Environ. Geol., vol. 1, pp. 137-145, Soc. of Sediment. Geol. (SEPM), Tulsa, Okla.
30. Scheibe, T. D., and S. Yabusaki (1998), Scaling of flow and transport behavior in heterogeneous groundwater systems, Adv. Water Resour., 22(3), 223-238, doi:10.1016/S0309-1708(98)00014-1.
31. Stauffer, D., and A. Aharony (1994), Introduction of Percolation Theory, 181 pp., Taylor and Francis, Philadelphia, Pa.
32. Willis, B. J., and C. D. White (2000), Quantitative outcrop data for flow simulation, J. Sediment. Res., 70(4), 788-802, doi:10.1306/2DC40938-0E47-11D7-8643000102C1865D.
33. Zinn, B., and C. F. Harvey (2003), When good statistical models of aquifer heterogeneity go bad: A comparison of flow, dispersion, and mass transfer in connected and multivariate Gaussian hydraulic conductivity fields, Water Resour. Res., 39(3), 1051, doi:10.1029/2001WR001146.