TY - JOUR
T1 - Convergence of the CEM-GMsFEM for compressible flow in highly heterogeneous media
AU - Poveda, Leonardo A.
AU - Fu, Shubin
AU - Chung, Eric T.
AU - Zhao, Lina
PY - 2023/12/1
Y1 - 2023/12/1
N2 - This paper presents and analyses a Constraint Energy Minimization Generalized Multiscale Finite Element Method (CEM-GMsFEM) for solving single-phase non-linear compressible flows in highly heterogeneous media. The construction of CEM-GMsFEM hinges on two crucial steps: First, the auxiliary space is constructed by solving local spectral problems, where the basis functions corresponding to small eigenvalues are captured. Then the basis functions are obtained by solving local energy minimization problems over the oversampling domains using the auxiliary space. The basis functions have exponential decay outside the corresponding local oversampling regions. The convergence of the proposed method is provided, and we show that this convergence only depends on the coarse grid size and is independent of the heterogeneities. An online enrichment guided by a posteriori error estimator is developed to enhance computational efficiency. Several numerical experiments on a three-dimensional case to confirm the theoretical findings are presented, illustrating the performance of the method and giving efficient and accurate numerical solutions. © 2023 Elsevier Ltd.
AB - This paper presents and analyses a Constraint Energy Minimization Generalized Multiscale Finite Element Method (CEM-GMsFEM) for solving single-phase non-linear compressible flows in highly heterogeneous media. The construction of CEM-GMsFEM hinges on two crucial steps: First, the auxiliary space is constructed by solving local spectral problems, where the basis functions corresponding to small eigenvalues are captured. Then the basis functions are obtained by solving local energy minimization problems over the oversampling domains using the auxiliary space. The basis functions have exponential decay outside the corresponding local oversampling regions. The convergence of the proposed method is provided, and we show that this convergence only depends on the coarse grid size and is independent of the heterogeneities. An online enrichment guided by a posteriori error estimator is developed to enhance computational efficiency. Several numerical experiments on a three-dimensional case to confirm the theoretical findings are presented, illustrating the performance of the method and giving efficient and accurate numerical solutions. © 2023 Elsevier Ltd.
KW - Compressible flow
KW - Constraint energy minimization
KW - Highly heterogeneous
KW - Local spectral problems
KW - Multiscale finite element methods
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U2 - 10.1016/j.camwa.2023.09.033
DO - 10.1016/j.camwa.2023.09.033
M3 - RGC 21 - Publication in refereed journal
SN - 0898-1221
VL - 151
SP - 153
EP - 163
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
ER -