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Multiscale mixed methods for two-phase flows in high-contrast porous media

机译:高尺度多孔介质中两相流动的多尺度混合方法

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The Multiscale Robin Coupled Method (MRCM) is a domain decomposition procedure that has been developed to efficiently approximate velocity and pressure fields for single-phase flows in highly heterogeneous porous media. It generalizes other well-established multiscale domain decomposition mixed methods and it adds great flexibility to the choice of interface spaces as well as in the boundary conditions for subdomain coupling. We investigate the approximation of two phase flows in porous media using the MRCM to compute velocity fields. We consider an operator splitting strategy, where a scalar conservation law for the saturation of one of the phases and the velocity field are updated sequentially. We find that the coupling of nearest neighbor subdomains through the imposition of a continuous pressure (respectively, normal fluxes) is the best strategy to approximate two-phase flows in the presence of high (resp., low) permeability channels (resp., regions). A new adaptivity strategy for setting an algorithmic parameter of the MRCM, that controls the relative importance of Dirichlet and Neumann boundary conditions in the coupling of subdomains, is proposed and tested in challenging, high-contrast permeability fields. Our numerical simulations of two-phase flows show that by switching between existing multiscale procedures we can observe unprecedented accuracy, in that we produce better solutions for problems with high-contrast permeability coefficients when compared to solutions obtained with some standard multiscale mixed methods. (C) 2020 Elsevier Inc. All rights reserved.
机译:多尺度罗宾耦合方法(MRCM)是已经开发的域分解过程,以有效地近似于高度异构多孔介质中单相流的速度和压力场。它概括了其他良好的多尺度域分解混合方法,它为界面空间的选择以及子域耦合的边界条件增加了极大的灵活性。我们研究了使用MRCM计算速度场的多孔介质中两相流量的近似值。我们考虑一个操作员分割策略,其中依次更新用于饱和的饱和度和速度场的标量保守法。我们发现,通过施加连续压力(分别,正常助焊剂)的最近邻居子域的耦合是在高(RESP。,低)渗透通道(RESP。,地区)的存在下近似两相流量的最佳策略)。建议并在具有挑战性,高对比度渗透场上提出并测试了用于控制MRCM的算法参数的新的适应性策略,其控制亚域耦合中的Dirichlet和Neumann边界条件的相对重要性。我们的两相流量的数值模拟表明,通过在现有的多尺度程序之间切换,我们可以观察到前所未有的准确性,因为与用一些标准多尺度混合方法获得的溶液相比,我们会对高对比度渗透系数的问题产生更好的解决方案。 (c)2020 Elsevier Inc.保留所有权利。

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