Three-dimensional edge-based finite element modeling of magnetotelluric data in anisotropic media with a divergence correction

被引:19
|
作者
Zhou, Junjun [1 ]
Hu, Xiangyun [1 ]
Xiao, Tiaojie [2 ]
Cai, Hongzhu [1 ]
Li, Jianhui [1 ]
Peng, Ronghua [1 ]
Long, Zhidang [1 ]
机构
[1] China Univ Geosci, Inst Geophys & Geomat, Wuhan, Peoples R China
[2] Natl Univ Def Technol, Sci & Technol Parallel & Distributed Proc Lab, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
Anisotropy; Divergence correction; Finite element modeling; Magnetotelluric; ELECTROMAGNETIC-FIELDS; 3D;
D O I
10.1016/j.jappgeo.2021.104324
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
When simulating a 3-D magnetotelluric (MT) response, the convergence rate slows at low frequencies. Previous works have shown that by implementing divergence correction, the convergence rate of the iterative solution can be accelerated, the computational accuracy can be enhanced. However, traditional correction schemes of MT are mostly based on isotropic modeling. Electrical anisotropy strongly affects the interpretation of MT data and anisotropic influence cannot be ignored. To our best knowledge, there has been no open literature to apply divergence correction in 3-D MT anisotropic modeling. In this study, based on the divergence-free property of the current density, a divergence correction technique is incorporated into the edge-based finite element (FE) method to speed up the modeling process for 3-DMT problems with axial anisotropic earth. By applying the divergence scheme, the computation time and iteration number for MT numerical simulation are largely reduced. The effectiveness of the anisotropic divergence correction technique on MT modeling is verified by numerical experiments. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Three-dimensional magnetotelluric modelling in anisotropic media using the A-phi method
    Xiao, Tiaojie
    Huang, Xiangyu
    Wang, Yun
    [J]. EXPLORATION GEOPHYSICS, 2019, 50 (01) : 31 - 41
  • [42] 3D CSAMT modelling in anisotropic media using edge-based finite-element method
    He, Guoli
    Xiao, Tiaojie
    Wang, Yun
    Wang, Guangjie
    [J]. EXPLORATION GEOPHYSICS, 2019, 50 (01) : 42 - 56
  • [43] A singular edge-based smoothed finite element method (ES-FEM) for crack analyses in anisotropic media
    Chen, L.
    Liu, G. R.
    Jiang, Y.
    Zeng, K.
    Zhang, J.
    [J]. ENGINEERING FRACTURE MECHANICS, 2011, 78 (01) : 85 - 109
  • [44] Analytical modeling and three-dimensional finite element simulation of line edge roughness in scatterometry
    Kato, Akiko
    Burger, Sven
    Scholze, Frank
    [J]. APPLIED OPTICS, 2012, 51 (27) : 6457 - 6464
  • [45] Edge-Based Finite Element Modeling of Magnetogasdynamic-Based Propulsion Systems
    Zhang, Wenbo
    Habashi, Wagdi G.
    Ben Salah, Nizar
    Isola, Dario
    Baruzzi, Guido S.
    [J]. AIAA JOURNAL, 2019, 57 (07) : 3003 - 3013
  • [46] Parallel finite element algorithm with domain decomposition for three-dimensional magnetotelluric modelling
    Zyserman, FI
    Santos, JE
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2000, 44 (04) : 337 - 351
  • [47] Adaptive finite element modelling of two-dimensional magnetotelluric fields in general anisotropic media
    Li, Yuguo
    Pek, Josef
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2008, 175 (03) : 942 - 954
  • [48] Three-dimensional axially anisotropic inversion of magnetotelluric phase tensor and tipper data
    Kong WenXin
    Yu Nian
    Li Xin
    Zhang XueJian
    Chen Huang
    Li TianYang
    Wang EnCi
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 66 (09): : 3928 - 3946
  • [49] A Scalable Parallel Algorithm for 3-D Magnetotelluric Finite Element Modeling in Anisotropic Media
    Zhu, Xiaoxiong
    Liu, Jie
    Cui, Yian
    Gong, Chunye
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [50] 3-D Magnetotelluric Inversion and Application Using the Edge-Based Finite Element With Hexahedral Mesh
    Xie, Jingtao
    Cai, Hongzhu
    Hu, Xiangyun
    Long, Zhidan
    Xu, Shan
    Fu, Changmin
    Wang, Zhongxing
    Di, Qingyun
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60