• DocumentCode
    960866
  • Title

    Electromagnetic conductivity imaging with an iterative Born inversion

  • Author

    Alumbaugh, David L. ; Morrison, H. Frank

  • Author_Institution
    Lawrence Berkeley Lab., California Univ., CA, USA
  • Volume
    31
  • Issue
    4
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    758
  • Lastpage
    763
  • Abstract
    A technique which uses low frequency electromagnetic fields to image the Earth´s conductivity structure between two boreholes is developed. The scheme employs the Born approximation to linearize the integral equation formulation, and a regularized least squares method to invert the data for an initial estimate of the conductivity. A second Born approximation is then applied in a iterative manner to achieve better estimates of the structure. Numerical experiments show that this iterative method improves resolution when compared to normal Born inversion due to the fact that coupling between scattering currents is accounted for. The image quality is shown to be dependent on the operating frequency with the optimal frequency corresponding to the peak of a sensitivity function the authors have termed the Born kernel, which is the product of the primary electric field and the Green´s function
  • Keywords
    geophysical prospecting; geophysical techniques; terrestrial electricity; Born approximation; Born kernel; EM method; boreholes; cross borehole method; electrical conductivity imaging; geoelectric; image; integral equation; iterative; iterative Born inversion; low frequency electromagnetic fields; measurement; optimal frequency; prospecting; regularized least squares method; sensitivity function; structure; technique; terrestrial electricity; Approximation methods; Conductivity; Earth; Electromagnetic fields; Electromagnetic scattering; Frequency; Image quality; Integral equations; Iterative methods; Least squares methods;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.239897
  • Filename
    239897