A Simulation Approach Including Underresolved Scales for Two-Component Fluid Flows in Multiscale Porous Structures
Year: 2023
Author: Hiroshi Otomo, Rafael Salazar-Tio, Jingjing Yang, Hongli Fan, Andrew Fager, Bernd Crouse, Raoyang Zhang, Hudong Chen
Communications in Computational Physics, Vol. 33 (2023), Iss. 1 : pp. 189–213
Abstract
In this study, we develop computational models and a methodology for
accurate multicomponent flow simulation in underresolved multiscale porous structures [1]. It is generally impractical to fully resolve the flow in porous structures
with large length-scale differences due to the tremendously high computational expense. The flow contributions from underresolved scales should be taken into account
with proper physics modeling and simulation processes. Using precomputed physical properties such as the absolute permeability, $K_0,$ the capillary pressure-saturation
curve, and the relative permeability, $K_r,$ in typical resolved porous structures, the local fluid force is determined and applied to simulations in the underresolved regions,
which are represented by porous media. In this way, accurate flow simulations in
multiscale porous structures become feasible.
To evaluate the accuracy and robustness of this method, a set of benchmark test cases
are simulated for both single-component and two-component flows in artificially constructed multiscale porous structures. Using comparisons with analytic solutions and
results with much finer resolution resolving the porous structures, the simulated results are examined. Indeed, in all cases, the results successfully show high accuracy
with proper input of $K_0,$ capillary pressure, and $K_r.$ Specifically, imbibition patterns,
entry pressure, residual component patterns, and absolute/relative permeability are
accurately captured with this approach.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2022-0037
Communications in Computational Physics, Vol. 33 (2023), Iss. 1 : pp. 189–213
Published online: 2023-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 25
Keywords: Multiscale simulation porous media multicomponent flow lattice Boltzmann method.