Finite element time domain modeling of controlled-source electromagnetic data with a hybrid boundary condition

被引:13
|
作者
Cai, Hongzhu [1 ,6 ]
Hu, Xiangyun [2 ]
Xiong, Bin [3 ]
Auken, Esben [4 ]
Han, Muran [5 ]
Li, Jianhui [2 ]
机构
[1] Aarhus Univ, Dept Geosci, Aarhus, Denmark
[2] China Univ Geosci, Inst Geophys & Geomat, Wuhan, Hubei, Peoples R China
[3] Guilin Univ Technol, Coll Earth Sci, Guilin 541004, Guangxi, Peoples R China
[4] Aarhus Univ, Dept Geosci, Aarhus, Denmark
[5] Univ Utah, Salt Lake City, UT 84112 USA
[6] TechnoImaging, Salt Lake City, UT USA
基金
中国国家自然科学基金;
关键词
Electromagnetics; Marine geophysics; Time domain; Finite element; Backward Euler; Direct solver; INVERSION; DIFFERENCE; SIMULATION; PARALLEL; INSIGHTS; VOLUME; MESH; 1D;
D O I
10.1016/j.jappgeo.2017.08.005
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We implemented an edge-based finite element time domain (FETD) modeling algorithm for simulating controlled-source electromagnetic (CSEM) data. The modeling domain is discretized using unstructured tetrahedral mesh and we consider a finite difference discretization of time using the backward Euler method which is unconditionally stable. We solve the diffusion equation for the electric field with a total field formulation. The finite element system of equation is solved using the direct method. The solutions of electric field, at different time, can be obtained using the effective time stepping method with trivial computation cost once the matrix is factorized. We try to keep the same time step size for a fixed number of steps using an adaptive time step doubling (ATSD) method. The finite element modeling domain is also truncated using a semi-adaptive method. We proposed a new boundary condition based on approximating the total field on the modeling boundary using the primary field corresponding to a layered background model. We validate our algorithm using several synthetic model studies. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:133 / 143
页数:11
相关论文
共 50 条
  • [31] Response characteristics of gradient data from the frequency-domain controlled-source electromagnetic method
    Zhang, Ming
    Farquharson, Colin G.
    Liu, Changsheng
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2020, 172 (172)
  • [32] The finite element analysis of the controlled-source electromagnetic induction problems by fractional-step projection method
    Ma, CF
    [J]. JOURNAL OF COMPUTATIONAL MATHEMATICS, 2004, 22 (04) : 557 - 566
  • [33] A parallel finite-element method for three-dimensional controlled-source electromagnetic forward modelling
    Puzyrev, Vladimir
    Koldan, Jelena
    de la Puente, Josep
    Houzeaux, Guillaume
    Vazquez, Mariano
    Maria Cela, Jose
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2013, 193 (02) : 678 - 693
  • [34] Finite-element analysis of controlled-source electromagnetic induction using Coulomb-gauged potentials
    Badea, EA
    Everett, ME
    Newman, GA
    Biro, O
    [J]. GEOPHYSICS, 2001, 66 (03) : 786 - 799
  • [35] Fast iterative solver for 3D finite-element modeling of controlled-source electromagnetic responses with vector and scalar potentials
    Tang, Wenwu
    Liu, Jianxin
    Ma, Changying
    Zhou, Feng
    [J]. GEOPHYSICS, 2023, 88 (03) : E91 - E105
  • [36] Three-dimensional controlled-source electromagnetic forward modeling by edge-based finite element using secondary electric field
    Tang, Wenwu
    Li, Yaoguo
    Liu, Jianxin
    Liu, Chunming
    [J]. Geophysical Prospecting for Petroleum, 2015, 54 (06) : 665 - 673
  • [37] Resistivity imaging with controlled-source electromagnetic data: depth and data weighting
    Plessix, R-E
    Mulder, W. A.
    [J]. INVERSE PROBLEMS, 2008, 24 (03)
  • [38] A review of marine controlled-source electromagnetic data preprocessing technology
    Li, Suyi
    Gu, Chunying
    Yang, Jiayu
    Zhang, Yi
    Diao, Shu
    Ji, Yanju
    [J]. AIP ADVANCES, 2022, 12 (09)
  • [39] Finite-Element Scheme With Total-Field for 3-D Marine Controlled-Source Electromagnetic Modeling With Bathymetry and Multisources
    Ye, Yixin
    Jiang, Fenyong
    Yang, Haiyan
    Wu, Chaofeng
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [40] Marlim R3D: A realistic model for controlled-source electromagnetic simulations - Phase 2: The controlled-source electromagnetic data set
    Correa, Jorlivan L.
    Menezes, Paulo T. L.
    [J]. GEOPHYSICS, 2019, 84 (05) : E293 - E299