Potential-based reduced Newton algorithm for nonlinear multiphase flow in porous media

被引:48
|
作者
Kwok, Felix [1 ]
Tchelepi, Hamdi [1 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
关键词
potential ordering; nonlinear multiphase flow; reduced Newton; porous media; black oil model; nonlinear solvers;
D O I
10.1016/j.jcp.2007.08.012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present a phase-based potential ordering that is an extension of the Cascade ordering introduced by Appleyard and Cheshire [John R. Appleyard, Ian M. Cheshire, The cascade method for accelerated convergence in implicit simulators, in: European Petroleum Conference, 1982, pp. 113-122]. The proposed ordering is valid for both two-phase and three-phase flow, and it can handle countercurrent flow due to gravity and/or capillarity. We show how this ordering can be used to reduce the nonlinear algebraic system that arises from the fully-implicit method (FIM) into one with only pressure dependence. The potential-based reduced Newton algorithm is then obtained by applying Newton's method to this reduced-order system. Numerical evidence shows that our potential-based reduced Newton solver is able to converge for time steps that are much larger than what the standard Newton's method can handle. In addition, whenever standard Newton converges, so does the reduced Newton algorithm, and the number of global nonlinear iterations required for convergence is significantly reduced compared with the standard Newton's method. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:706 / 727
页数:22
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