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Simulation of multi-component multi-phase fluid flow in two-dimensional anisotropic heterogeneous porous media using high-order control volume distributed methods

机译:使用高阶控制卷分布式方法模拟二维各向异性异构多孔介质中的多组分多相流体流动

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In this paper, flow of multi-component two-phase fluids in highly heterogeneous anisotropic two-dimensional porous media is studied using computational methods suitable for unstructured triangular and/or quadrilateral grids. The physical model accounts for miscibility and compressibility of fluids while gravity and capillary effects are neglected. The governing equations consist of a pressure equation together with a system of mass conservation equations. For solving pressure equation, a new method called Control Volume Distributed Finite Element Method (CVDFEM) is introduced which uses Control Volume Distributed (CVD) vertex-centered grids. It is shown that the proposed method is able to approximate the pressure field in highly anisotropic and heterogeneous porous media fairly accurately. Moreover the system of mass conservation equations is solved using various upwind and central schemes. These schemes are extended from one-dimensional to two-dimensional unstructured grids. Using a series of numerical test cases, comparison is made between different approaches for approximation of the hyperbolic flux function. Semi one-dimensional high-order data reconstruction procedures are employed to decrease stream-wise numerical diffusion. The results suggest that the Modified Dominant Wave (MDW) scheme outperforms other hyperbolic schemes studied in this paper from both accuracy and computational cost points of view. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在本文中,使用适合于非结构化三角形和/或四边形网格的计算方法研究了高度异构各向异性二维多孔介质中的多组分两相流体的流动。物理模型占流体的混溶性和压缩性,而重力和毛细血管效应被忽略。控制方程由压力方程组成,与质量保护方程系统一起。为了求解压力方程,引入了一种新方法,称为控制卷分布式有限元方法(CVDFEM),其使用控制卷分布式(CVD)居中的网格。结果表明,该方法能够相当准确地近似高各向异性和异质多孔介质中的压力场。此外,使用各种挤压和中央方案解决了质量保护方程系统。这些方案从一维到二维非结构化网格延伸。使用一系列数值测试用例,在不同方法之间进行比较,以逼近双曲线磁通函数。采用半一维高阶数据重建过程来减少流明智的数值扩散。结果表明,改进的主波(MDW)方案优于本文研究的其他双曲线方案,从两种精度和计算成本观察。 (c)2019 Elsevier Ltd.保留所有权利。

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