2021
DOI: 10.1016/j.jappgeo.2021.104324
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Three-dimensional edge-based finite element modeling of magnetotelluric data in anisotropic media with a divergence correction

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Cited by 19 publications
(3 citation statements)
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“…The electric field can be decomposed into the magnetic vector potential A and electric scalar potential . This can reduce the weakness of the curl-curl electric equation 21 24 , accelerate the speed of solving the FE system with an iterative solver and obtain higher numerical accuracy. The relation of the potentials and fields can be represented as: …”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The electric field can be decomposed into the magnetic vector potential A and electric scalar potential . This can reduce the weakness of the curl-curl electric equation 21 24 , accelerate the speed of solving the FE system with an iterative solver and obtain higher numerical accuracy. The relation of the potentials and fields can be represented as: …”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…With the improvement in the performance of computing equipment and the improvement in computing methods, researchers have successively carried out the simulation of 3D anisotropic magnetotelluric field (Liu et al, 2018;Yu et al, 2018;Rivera-Rios et al, 2019;Xiao et al, 2019;Guo et al, 2020;Ye et al, 2021;Zhou et al, 2021;Luo et al, 2022;Li et al, 2023). At present, the 3D electromagnetic numerical simulation methods mainly include the integral equation method (IEM), the finite difference method (FDM), the finite volume method (FVM), and the finite element method (FEM).…”
Section: Introductionmentioning
confidence: 99%
“…Xiao et al (2019) derived the finite element equations of 3D anisotropic media by using vector potential functions and realized the forward algorithm. Zhou et al (2021) integrated divergence correction technology into the numerical simulation of magnetotelluric 3D anisotropic vector finite element, which improved the iterative solution accuracy of linear equations.…”
Section: Introductionmentioning
confidence: 99%