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Stochastic finite element analysis for multiphase flow in heterogeneous porous media

机译:异构多孔介质中多相流动的随机有限元分析

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This study is concerned with developing a two-dimensional multiphase model that simulates the movement of NAPL in heterogeneous aquifers. Heterogeneity is dealt with in a probabilistic sense by modeling the intrinsic permeability of the porous medium as a stochastic process. The deterministic finite element method is used to spatially discretize the multiphase flow equations. The intrinsic permeability is represented in the model via its Karhunen-Loeve expansion (Ghanem and Spanos, 1991). This is a computationally expedient representation of stochastic processes by means of a discrete set of random variables. Further, the nodal unknowns, water phase saturations and water phase pressures, are represented by their stochastic spectral expansions. This representation involves an orthogonal basis in the space of random variables. The basis consists of orthogonal polynomial chaoses of consecutive orders. The relative permeabilities of water and oil phases, and the capillary pressure are expanded in the same manner, as well. For these variables, the set of deterministic coefficients multiplying the basis in their expansions is evaluated based on constitutive relationships expressing the relative permeabilities and the capillary pressure as functions of the water phase saturations. The implementation of the various expansions into the multiphase flow equations results in the formulation of discretized stochastic differential equations that can be solved for the deterministic coefficients appearing in the expansions representing the unknowns. This method allows the computation of the probability distribution functions of the unknowns for any point in the spatial domain of the problem at any instant in time. Although the spectral stochastic finite element method used herein has received wide acceptance as a complete theory for problems involving random components, it has never been applied to nonlinear coupled equations as yet. Thus, the originality of this work lies in utilizing this theory for solving the multiphase flow equations which are nonlinear and coupled.
机译:该研究涉及开发一种二维多相模型,模拟Napl在异构含水层中的运动。通过将多孔介质的固定性透露性作为随机方法进行建模,在概率意义上处理异质性。确定性有限元方法用于在空间上离散多相流动方程。内在渗透率通过其Karhunen-Loeve扩展(Ghanem和Spanos,1991)在模型中表示。这是通过离散的随机变量来计算随机过程的计算上。此外,节点未知数,水相饱和和水相压力由其随机谱膨胀表示。该表示涉及在随机变量的空间中的正交基础。该基础包括连续订单的正交多项式凹陷。水和油相的相对渗透率,以及毛细管的相同方式也以相同的方式膨胀。对于这些变量,基于表示相对渗透率和毛细管压力作为水相饱和的功能的本文相关关系来评估乘以其扩展中的基础的确定性系数。将各种扩展的实现进入多相流动方程,导致可离散的随机微分方程的配方,该方程可以被解决,该方程可以求解在代表未知的扩展中出现的确定性系数。该方法允许在任何时间内在问题的空间领域中的空间域中的任何点计算未知数的概率分布函数。尽管本文使用的光谱随​​机有限元方法已经广泛接受作为涉及随机组分的问题的完整理论,但是从未被应用于尚于非线性耦合方程。因此,该工作的原创性在于利用该理论来解决非线性和耦合的多相流动方程。

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