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Geologic heterogeneity representation using high-order spatial cumulants for subsurface flow and transport simulations
The effects of geological heterogeneity representation on the hydraulic properties of two‐dimensional flow and transport simulations are studied using various stochastic simulation algorithms. An alternative multiple‐point method (HOSIM) on the basis of high‐order spatial cumulants and Legendre poly...
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Published in: | Water resources research 2011-08, Vol.47 (8), p.n/a |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The effects of geological heterogeneity representation on the hydraulic properties of two‐dimensional flow and transport simulations are studied using various stochastic simulation algorithms. An alternative multiple‐point method (HOSIM) on the basis of high‐order spatial cumulants and Legendre polynomials is used and compared to the multiple‐point FilterSIM method, and the sequential Gaussian simulation (SGS) method. Conditional realizations of a fluvial reservoir system are generated by HOSIM, FilterSIM, and SGS methods. Then, the simulated hydraulic permeability fields (K) are used in a numerical groundwater flow and solute transport models. Numerical results showed that the HOSIM method created greater connectivity in the reservoir/aquifer (channel) network than FilterSIM and SGS realizations. The numerical simulations show that in a reservoir/aquifer system with a strongly connected network of high‐K materials, the Gaussian and FilterSIM approaches are not as effective as HOSIM in reproducing this behavior. The simulations showed a good agreement between HOSIM realizations and the exhaustive reference image.
Key Points
A new high‐order stochatstic simulation method
Hydraulic permeability simulation
Flow |
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ISSN: | 0043-1397 1944-7973 |
DOI: | 10.1029/2010WR009515 |