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Two-grid methods for miscible displacement problem by Galerkin methods and mixed finite-element methods

机译:用Galerkin方法和混合有限元方法求解相交问题的两网格方法

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摘要

The miscible displacement problem of one incompressible fluid is modelled by a nonlinear coupled system of two partial differential equations in porous media. One equation is elliptic form for the pressure and the other equation is parabolic form for the concentration of one of the fluids. In the paper, we present an efficient two-grid method for solving the miscible displacement problem by using mixed finite-element method for the approximation of the pressure equation and standard Galerkin method for concentration equation. We linearize the discretized equations based on the idea of Newton iteration in our methods, firstly, we solve an original nonlinear coupling problem on the coarse grid, then solve two linear systems on the fine grid. we obtain the error estimates for the two-grid algorithm, it is shown that coarse space can be extremely coarse and we achieve asymptotically optimal approximation. Moreover, numerical experimentation is given in this paper.
机译:一种不可压缩流体的混相驱替问题是由多孔介质中两个偏微分方程的非线性耦合系统建模的。对于压力,一个方程是椭圆形式,而对于一种流体的浓度,另一个方程是抛物线形式。在本文中,我们提出了一种有效的两网格方法,通过使用混合有限元方法逼近压力方程式和标准Galerkin方法求解浓度方程式,解决了混溶位移问题。在我们的方法中,我们基于牛顿迭代的思想线性化离散方程,首先,在粗糙网格上解决了原始的非线性耦合问题,然后在精细网格上解决了两个线性系统。我们获得了两网格算法的误差估计,结果表明,粗糙空间可能非常粗糙,并且我们实现了渐近最优逼近。此外,本文给出了数值实验。

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