Fully implicit hybrid two-level domain decomposition algorithms for two-phase flows in porous media on 3D unstructured grids
Fully implicit hybrid two-level domain decomposition algorithms for two-phase flows in porous media on 3D unstructured grids
复制标题
3D非结构化网格上多孔介质两相流的完全隐式混合二级域分解算法
DOI:
10.1016/j.jcp.2020.109312
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发表时间:
2020-05
影响因子:
4.1
通讯作者:
David E. Keyes
中科院分区:
文献类型:
--
作者:
Li Luo;Lulu Liu;Xiao-Chuan Cai;David E. Keyes
Simulation of subsurface flows in porous media is difficult due to the nonlinearity of the operators and the high heterogeneity of material coefficients. In this paper, we present a scalable fully implicit solver for incompressible two-phase flows based on overlapping domain decomposition methods. Specifically, an inexact Newton-Krylov algorithm with analytic Jacobian is used to solve the nonlinear systems arising from the discontinuous Galerkin discretization of the governing equations on 3D unstructured grids. The linear Jacobian system is preconditioned by additive Schwarz algorithms, which are naturally suitable for parallel computing. We propose a hybrid two-level version of the additive Schwarz preconditioner consisting of a nested coarse space to improve the robustness and scalability of the classical one-level version. On the coarse level, a smaller linear system arising from the same discretization of the problem on a coarse grid is solved by using GMRES with a one-level preconditioner until a relative tolerance is reached. Numerical experiments are presented to demonstrate the effectiveness and efficiency of the proposed solver for 3D heterogeneous medium problems. We also report the parallel scalability of the proposed algorithms on a supercomputer with up to 8, 192 processor cores.
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DOI:
--
发表时间:
1995
期刊:
--
影响因子:
--
作者:
G. Karypis;Vipin Kumar
通讯作者:
G. Karypis;Vipin Kumar
DOI:
10.1137/120898358
发表时间:
2013-12
期刊:
SIAM J. Numer. Anal.
影响因子:
--
作者:
Jisheng Kou;Shuyu Sun
通讯作者:
Jisheng Kou;Shuyu Sun
DOI:
10.2118/12267-ms
发表时间:
1983
期刊:
--
影响因子:
--
作者:
R. Ewing;R. F. Heinemann
通讯作者:
R. Ewing;R. F. Heinemann
影响因子:
2.5
作者:
P. Bastian
通讯作者:
P. Bastian
影响因子:
2.7
作者:
Zhangxin Chen;R. Ewing
通讯作者:
Zhangxin Chen;R. Ewing