• DocumentCode
    944140
  • Title

    Fast numerical modeling of multitransmitter electromagnetic data using multigrid quasi-linear approximation

  • Author

    Ueda, Takumi ; Zhdanov, Michael S.

  • Author_Institution
    Geol. & Geophys. Dept., Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    44
  • Issue
    6
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    1428
  • Lastpage
    1434
  • Abstract
    Multitransmitter electromagnetic (EM) surveys are widely used in remote-sensing and geophysical exploration. The interpretation of the multitransmitter geophysical data requires numerous three-dimensional (3-D) modelings of the responses of the receivers for different geoelectrical models of complex geological formations. In this paper, we introduce a fast method for 3-D modeling of EM data, based on a modified version of quasilinear approximation, which uses a multigrid approach. This method significantly speeds up the modeling of multitransmitter-multireceiver surveys. The developed algorithm has been applied for the interpretation of marine controlled-source electromagnetic (MCSEM) data. We have tested our new method using synthetic problems and for the simulation of MCSEM data for a geoelectrical model of a Gemini salt body.
  • Keywords
    Earth structure; electromagnetic waves; geophysical prospecting; remote sensing; terrestrial electricity; well logging; Gemini salt body; complex geological formation; fast numerical modeling; geoelectrical model; geophysical exploration; marine controlled-source electromagnetic data; multigrid quasilinear approximation; multitransmitter electromagnetic survey; receiver response; remote sensing; Conductivity; Electric variables measurement; Electromagnetic modeling; Geologic measurements; Geology; Geophysical measurements; Numerical models; Petroleum; Tensile stress; Transmitters; Electromagnetic (EM); multigrid approach; multitransmitter modeling; quasilinear (QL) approximation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2006.864386
  • Filename
    1634706