Three-dimensional magnetotelluric modeling in general anisotropic media using nodal-based unstructured finite element method

Ye, Yixin; Du, Jiaxing; Liu, Ying; Ai, Zhengmin; Jiang, Fenyong

doi:10.1016/j.cageo.2021.104686

Cited by 12 publications

(1 citation statement)

References 33 publications

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“…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%

A rapid 3D magnetotelluric forward approach for arbitrary anisotropic conductivities in the Fourier domain

Zhu,

Shao,

Wang

et al. 2023

Front. Earth Sci.

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Previous studies have shown that anisotropy generally exists in geological bodies such as sedimentary rocks and fault zones, and more and more attention has been paid to the arbitrary conductivity media in surveys with the magnetotelluric sounding method. With the breakthrough development of computer hardware technology, large-scale 3D magnetotelluric modeling in anisotropic media has gradually become possible. At present, there are 3D magnetotelluric field simulation algorithms based on finite differences or finite elements for arbitrary anisotropic conductivity. In order to solve the common computational efficiency problems of the existing algorithms, we proposed a rapid 3D magnetotelluric forward approach for arbitrary anisotropic conductivity in the Fourier domain. Through the 2D Fourier transform, the governing equation can be converted from the space domain to the Fourier domain, thereby greatly reducing the calculation amount of the numerical simulation and improving the calculation efficiency. Then, the classical 1D anisotropy model is used to verify the correctness and the computational efficiency. Finally, the 3D anisotropic models of land and ocean are calculated, and the influence characteristics of the anisotropic medium on the magnetotelluric response are analyzed. The proposed algorithm will be used in the inverse imaging technique for large-scale 3D anisotropic data in future studies.

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