3-D Inversion of Airborne Electromagnetic Method Based on Footprint-Guided CFEM Modeling

被引:11
|
作者
Liu, Rong [1 ,2 ]
Feng, DeShan [1 ,2 ]
Guo, RongWen [1 ,2 ]
机构
[1] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China
[2] Cent South Univ, Key Lab Nonferrous Resources & Geol Hazard Detect, Changsha 410083, Peoples R China
基金
中国国家自然科学基金;
关键词
Solid modeling; Computational modeling; Sensitivity; Mathematical model; Data models; Finite element analysis; Electromagnetics; Airborne electromagnetic (AEM) method; compact finite element method (CFEM); footprint; inversion; FINITE-ELEMENT; 3D INVERSION; ALGORITHM;
D O I
10.1109/LGRS.2021.3058286
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We investigate an algorithm for the 3-D inversion of frequency-domain airborne electromagnetic (AEM) data based on the forward modeling and sensitivity calculation by footprint-guided compact finite element method (CFEM). Unlike the conventional approach, the modeling volume in our algorithm for each transmitter-receiver pair is a regular hexahedral that encloses the footprint, rather than a large mesh for the entire survey area or the local mesh with a number of grids extending from the footprint. After the electric fields in the modeling volume are solved by vector finite element method (FEM) with an integral equation boundary condition, the response and sensitivity are explicitly calculated by employing the product of the prepared Green's functions and the vector of electric fields. The accuracy of this footprint-guided CFEM is validated by comparing it against conventional CFEM, and different synthetic models are tested by our inversion algorithm. The inversion tests of synthetic models show the feasibility of the combination of footprint-guided CFEM and Gauss-Newton optimization in recovering models within an acceptable error level, and the inversion results show a good agreement with the true models on both the model geometry and recovered conductivity.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] 3-D Numerical modeling of an electromagnetic field in geoelectrics using the Trefftz method
    I. V. Yegorov
    Izvestiya, Physics of the Solid Earth, 2009, 45 : 812 - 821
  • [42] Physics-guided deep learning-based inversion for airborne electromagnetic data
    Wu, Sihong
    Huang, Qinghua
    Zhao, Li
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2024, 238 (03) : 1774 - 1789
  • [43] 3D time-domain airborne electromagnetic inversion based on secondary field finite-volume method
    Ren, Xiuyan
    Yin, Changchun
    Macnae, James
    Liu, Yunhe
    Zhang, Bo
    GEOPHYSICS, 2018, 83 (04) : E219 - E228
  • [44] A Systematic Study of Topography Effect of ERT Based on 3-D Modeling and Inversion
    De-Bao Lu
    Qi-You Zhou
    S. A. Junejo
    An-Lin Xiao
    Pure and Applied Geophysics, 2015, 172 : 1531 - 1546
  • [45] 3D modeling and born approximation inversion for the borehole surface electromagnetic method
    Zhigang Wang
    Zhanxiang He
    Wenbo Wei
    Applied Geophysics, 2007, 4 : 84 - 88
  • [46] A Systematic Study of Topography Effect of ERT Based on 3-D Modeling and Inversion
    Lu, De-Bao
    Zhou, Qi-You
    Junejo, S. A.
    Xiao, An-Lin
    PURE AND APPLIED GEOPHYSICS, 2015, 172 (06) : 1531 - 1546
  • [47] 3D Modeling and Born approximation inversion for the borehole surface electromagnetic method
    Wang Zhigang
    He Zhanxiang
    Wei Wenbo
    APPLIED GEOPHYSICS, 2007, 4 (02) : 84 - 88
  • [48] 3-D Electromagnetic Modeling of EMI Input Filters
    Kovacevic, Ivana F.
    Friedli, Thomas
    Muesing, Andreas M.
    Kolar, Johann W.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (01) : 231 - 242
  • [49] 3-D electromagnetic modeling of wakefields in accelerator components
    Poole, BR
    Caporaso, GJ
    Ng, WC
    Shang, CC
    Steich, D
    COMPUTATIONAL ACCELERATOR PHYSICS, 1997, (391): : 155 - 160
  • [50] 3-D ELECTROMAGNETIC MODELING USING A HYBRID TECHNIQUE
    MORRISON, HF
    MOZLEY, EC
    LEE, KH
    GEOPHYSICS, 1983, 48 (04) : 485 - 485