Parallel reservoir simulators for fully implicit complementarity formulation of multicomponent compressible flows

被引:9
|
作者
Yang, Haijian [1 ]
Sun, Shuyu [2 ]
Li, Yiteng [2 ]
Yang, Chao [3 ]
机构
[1] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[2] King Abdullah Univ Sci & Technol, Phys Sci & Engn Div, Thuwal 239556900, Saudi Arabia
[3] Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Reservoir simulation; Fully implicit method; Complementarity problem; Parallel computing; MODELING MULTIPHASE FLOW; DOMAIN DECOMPOSITION; NEWTON METHODS; MEDIA; OPTIMIZATION; SEMISMOOTH;
D O I
10.1016/j.cpc.2019.07.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The numerical simulation of multicomponent compressible flow in porous media is an important research topic in reservoir modeling. Traditional semi-implicit methods for such problems are usually conditionally stable, suffer from large splitting errors, and may accompany with violations of the boundedness requirement of the numerical solution. In this study we reformulate the original multicomponent equations into a nonlinear complementarity problem and discretize it using a fully implicit finite element method. We solve the resultant nonsmooth nonlinear system of equations arising at each time step by a parallel, scalable, and nonlinearly preconditioned semismooth Newton algorithm, which is able to preserve the boundedness of the solution and meanwhile treats the possibly imbalanced nonlinearity of the system. Some numerical results are presented to demonstrate the robustness and efficiency of the proposed algorithm on the Tianhe-2 supercomputer for both standard benchmarks as well as realistic problems in highly heterogeneous media. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页码:2 / 12
页数:11
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