Chinese Journal of Computational Physics ›› 2024, Vol. 41 ›› Issue (1): 98-109.DOI: 10.19596/j.cnki.1001-246x.8791

• Performance Optimization Techniques and Parallel Numerical Algorithms for Supercomputing • Previous Articles     Next Articles

Application-oriented Preconditioning of Seepage Mechanics

Chunsheng FENG1,2(), Shizhe LI3, Shenghao LIU1, Chensong ZHANG3,*(), Li ZHAO1   

  1. 1. School of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan 411105, China
    2. National Center for Applied Mathematics in Hunan, Hunan Shaofeng Institute for Applied Mathematics, Xiangtan, Hunan 411105, China
    3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2023-07-01 Online:2024-01-25 Published:2024-02-05
  • Contact: Chensong ZHANG

Abstract:

The seepage mechanics model comprises multiple nonlinearly coupled partial differential equations. In various applications, seepage mechanics problems exhibit distinct characteristics and the corresponding solution methods are also very different. This paper focuses on the representative mathematical models used in oil and gas reservoir development. It introduces the mathematical formulation and application characteristics of multiphase multicomponent seepage mechanics equations within porous media, along with efficient techniques for solving their discretized linear equation systems, including commonly employed preconditioning methods. Additionally, this study appropriately modifies standard test cases and evaluates the shared-memory parallel efficiency of these preconditioning methods.

Key words: seepage mechanics, Darcy equation, poroelasticity equation, incomplete LU decomposition, algebraic multigrid method

CLC Number: