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Fully implicit hybrid two-level domain decomposition algorithms for two-phase flows in porous media on 3D unstructured grids

机译:完全隐含的混合两个级别域分解算法,用于三维非结构化网格上多孔介质中的两相流量

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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. (C) 2020 Elsevier Inc. All rights reserved.
机译:由于操作者的非线性和材料系数的高异质性,难以呈现多孔介质中的地下流动的模拟。在本文中,我们基于重叠域分解方法呈现可扩展的完全隐式求解器,用于不可压缩的两相流量。具体地,具有分析雅可族织物的不适用于牛顿-Krylov算法用于解决3D非结构化网格上的控制方程的不连续Galerkin离散化而产生的非线性系统。线性雅可比系统由添加剂Schwarz算法预处理,其自然适用于平行计算。我们提出了一个混合两级版本的添加剂Schwarz预处理器,包括嵌套粗糙空间,以提高经典单级版本的稳健性和可扩展性。在粗级上,通过使用具有单级预处理器的GMRES来解决从粗网格上的问题的相同离散化而产生的较小线性系统,直到达到相对容差。提出了数值实验以证明所提出的3D异质介质问题的求解器的有效性和效率。我们还报告了具有高达8,192个处理器核的超级计算机上所提出的算法的并行可扩展性。 (c)2020 Elsevier Inc.保留所有权利。

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