Constraint energy minimizing generalized multiscale finite element method for multi-continuum Richards equations

被引:4
|
作者
Mai, Tina [1 ,2 ]
Cheung, Siu Wun [3 ]
Park, Jun Sur Richard [4 ]
机构
[1] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
[2] Duy Tan Univ, Fac Nat Sci, Da Nang 550000, Vietnam
[3] Lawrence Livermore Natl Lab, Ctr Appl Sci Comp, Livermore, CA 94550 USA
[4] Korea Adv Inst Sci & Technol, Dept Math Sci, Daejeon 34141, South Korea
关键词
Heterogeneous fractured porous media; Unsaturated flows; Constraint energy minimizing generalized; multiscale method; Model reduction; Multi; -continuum; Coupled system of nonlinear Richards; equations; DISCRETE-FRACTURE MODEL; SHALE GAS-TRANSPORT; CONSERVATIVE NUMERICAL-SOLUTION; 2-PHASE FLOW SIMULATION; ELLIPTIC PROBLEMS; WAVE-PROPAGATION; COARSE SPACES; SINGLE-PHASE; REDUCTION; MEDIA;
D O I
10.1016/j.jcp.2023.111915
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In fluid flow simulation, the multi-continuum model is a useful strategy. When the heterogeneity and contrast of coefficients are high, the system becomes multiscale, and some kinds of reduced order methods are demanded. Combining these techniques with nonlinearity, we will consider in this paper a dual-continuum model which is generalized as a multi-continuum model for a coupled system of nonlinear Richards equations as unsaturated flows, in complex heterogeneous fractured porous media; and we will solve it by a novel multiscale approach utilizing the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM). In particular, such a nonlinear system will be discretized in time and then linearized by Picard iteration (whose global convergence is proved theoretically). Subsequently, we tackle the resulting linearized equations by the CEM-GMsFEM and obtain proper offline multiscale basis functions to span the multiscale space (which contains the pressure solution). More specifically, we first introduce two new sources of samples, and the GMsFEM is used over each coarse block to build local auxiliary multiscale basis functions via solving local spectral problems, that are crucial for detecting high-contrast channels. Second, per oversampled coarse region, local multiscale basis functions are created through the CEM as constrainedly minimizing an energy functional. Various numerical tests for our approach reveal that the error converges with the coarse-grid size and that only few oversampling layers as well as basis functions are needed.(c) 2023 Elsevier Inc. All rights reserved.
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页数:20
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