The multiscale perturbation method for second order elliptic equations

被引:8
作者
Ali, Alsadig [1 ]
Mankad, Het [1 ]
Pereira, Felipe [1 ]
Sousa, Fabricio S. [2 ]
机构
[1] Univ Texas Dallas, Dept Math Sci, 800 W Campbell Rd, Richardson, TX 75080 USA
[2] Univ Sao Paulo, Inst Ciencias Matemat & Comp, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP, Brazil
基金
瑞典研究理事会; 巴西圣保罗研究基金会;
关键词
Porous media; Domain decomposition; Multiscale basis functions; Robin boundary conditions; Multiphase flows; ELEMENT-METHOD; APPROXIMATION; FLOW;
D O I
10.1016/j.amc.2019.125023
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In the numerical solution of elliptic equations, multiscale methods typically involve two steps: the solution of families of local solutions or multiscale basis functions (an embarrassingly parallel task) associated with subdomains of a domain decomposition of the original domain, followed by the solution of a global problem. In the solution of multiphase flow problems approximated by an operator splitting method one has to solve an elliptic equation every time step of a simulation, that would require that all multiscale basis functions be recomputed. In this work, we focus on the development of a novel method that replaces a full update of local solutions by reusing multiscale basis functions that are computed at an earlier time of a simulation. The procedure is based on classical perturbation theory. It can take advantage of both an offline stage (where multiscale basis functions are computed at the initial time of a simulation) as well as of a good initial guess for velocity and pressure. The formulation of the method is carefully explained and several numerical studies are presented and discussed. They provide an indication that the proposed procedure can be of value in speeding-up the solution of multiphase flow problems by multiscale methods. (C) 2020 Elsevier Inc. All rights reserved.
引用
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页数:14
相关论文
共 19 条
[1]   A multiscale direct solver for the approximation of flows in high contrast porous media [J].
Akbari, Hani ;
Engsig-Karup, Allan P. ;
Ginting, Victor ;
Pereira, Felipe .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2019, 359 :88-101
[2]  
[Anonymous], 2002, Finite Volume Methods for Hyperbolic Problems
[3]   MULTISCALE HYBRID-MIXED METHOD [J].
Araya, Rodolfo ;
Harder, Christopher ;
Paredes, Diego ;
Valentin, Frederic .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2013, 51 (06) :3505-3531
[4]   A multiscale mortar mixed finite element method [J].
Arbogast, Todd ;
Pencheva, Gergina ;
Wheeler, Mary F. ;
Yotov, Ivan .
MULTISCALE MODELING & SIMULATION, 2007, 6 (01) :319-346
[5]  
Chen Chang-Hsin, 2006, Computational methods for multiphase flows in porous media
[6]  
Christie M., 2001, P SPE RES SIM S SOC
[7]   A locally conservative Eulerian-Lagrangian numerical method and its application to nonlinear transport in porous media [J].
Douglas, J ;
Pereira, F ;
Yeh, LM .
COMPUTATIONAL GEOSCIENCES, 2000, 4 (01) :1-40
[8]  
DOUGLAS J, 1983, RAIRO-ANAL NUMER-NUM, V17, P249
[9]   On the numerical simulation of waterflooding of heterogeneous petroleum reservoirs [J].
Jim Douglas ;
Frederico Furtado ;
Felipe Pereira .
Computational Geosciences, 1997, 1 (2) :155-190
[10]  
Ferraz C.P., 2019, THESIS