An oversampling technique for the multiscale finite volume method to simulate electromagnetic responses in the frequency domain

被引:10
作者
Caudillo-Mata, Luz Angelica [1 ]
Haber, Eldad [1 ]
Schwarzbach, Christoph [1 ]
机构
[1] Univ British Columbia, Earth Ocean & Atmospher Sci Dept, 4013-2207 Main Mall, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Electromagnetic theory; Numerical solutions; Finite volume; Multiscale methods; Oversampling; Electrical conductivity; Reduced model; Frequency domain; HIGHLY DISCONTINUOUS COEFFICIENTS; LOGICALLY RECTANGULAR GRIDS; MAXWELLS EQUATIONS; ELLIPTIC PROBLEMS; ELEMENT-METHOD; NATURAL DISCRETIZATIONS; DIFFERENCE METHODS; MULTIGRID METHOD; POROUS-MEDIA; DIVERGENCE;
D O I
10.1007/s10596-017-9647-y
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In order to reduce the computational cost of the simulation of electromagnetic responses in geophysical settings that involve highly heterogeneous media, we develop a multiscale finite volume method with oversampling for the quasi-static Maxwell's equations in the frequency domain. We assume a coarse mesh nested within a fine mesh that accurately discretizes the problem. For each coarse cell, we independently solve a local version of the original Maxwell's system subject to linear boundary conditions on an extended domain, which includes the coarse cell and a neighborhood of fine cells around it. The local Maxwell's system is solved using the fine mesh contained in the extended domain and the mimetic finite volume method. Next, these local solutions (basis functions) together with a weak-continuity condition are used to construct a coarse-mesh version of the global problem. The basis functions can be used to obtain the fine-mesh details from the solution of the coarse-mesh problem. Our approach leads to a significant reduction in the size of the final system of equations and the computational time, while accurately approximating the behavior of the fine-mesh solutions. We demonstrate the performance of our method using two 3D synthetic models: one with a mineral deposit in a geologically complex medium and one with random isotropic heterogeneous media. Both models are discretized using an adaptive mesh refinement technique.
引用
收藏
页码:963 / 980
页数:18
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