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Multidimensional upstream weighting for multiphase transport on general grids

机译:通用电网上多维输运的多维上游加权

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The governing equations for multiphase flow in porous media have a mixed character, with both nearly elliptic and nearly hyperbolic variables. The flux for each phase can be decomposed into two parts: (1) a geometry- and rock-dependent term that resembles a single-phase flux; and (2) a mobility term representing fluid properties and rock-fluid interactions. The first term is commonly discretized by two- or multipoint flux approximations (TPFA and MPFA, respectively). The mobility is usually treated with single-point upstream weighting (SPU), also known as dimensional or donor cell upstream weighting. It is well known that when simulating processes with adverse mobility ratios, SPU suffers from grid orientation effects. An important ex ample of this, which will be considered in this work, is the displacement of a heavy oil by water. For these adverse mobility ratio flows, the governing equations are unstable at the modeling scale, rendering a chal lenging numerical problem. These challenges must be addressed in order to avoid systematic biasing of simu lation results. In this work, we present a framework for multidimensional upstream weighting for multiphase flow with buoyancy on general two-dimensional grids. The methodology is based on a dual grid, and the re sulting transport methods are provably monotone. The multidimensional transport methods are coupled with MPFA methods to solve the pressure equation. Both explicit and fully implicit approaches are considered for time integration of the transport equations. The results show considerable reduction of grid orientation effects compared to SPU, and the explicit multidimensional approach allows larger time steps. For the implicit method, the total number of non-linear iterations is also reduced when multidimensional upstream weighting is used.
机译:多孔介质中多相流的控制方程具有混合特性,几乎具有椭圆和双曲线变量。每个相的通量可分解为两部分:(1)类似于单相通量的与几何和岩石相关的项; (2)流动性项,代表流体性质和岩-液相互作用。通常通过两点或多点通量近似(分别为TPFA和MPFA)离散化第一项。通常使用单点上游加权(SPU)处理移动性,也称为尺寸或施主细胞上游加权。众所周知,当模拟具有不利迁移率的过程时,SPU会受到网格方向的影响。在这项工作中将要考虑的一个重要例子是水置换重油。对于这些不利的迁移率流,控制方程在模型规模上是不稳定的,从而带来了巨大的数值问题。为了避免模拟结果的系统性偏差,必须解决这些挑战。在这项工作中,我们提出了在通用二维网格上具有浮力的多相流多维上游加权的框架。该方法基于双网格,并且得出的运输方法证明是单调的。多维输运方法与MPFA方法相结合来求解压力方程。运移方程的时间积分考虑了显式和完全隐式方法。结果表明,与SPU相比,网格定向效果显着降低,显式多维方法允许更大的时间步长。对于隐式方法,当使用多维上游加权时,也会减少非线性迭代的总数。

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