1887
Volume 48 Number 1
  • E-ISSN: 1365-2478

Abstract

Cross‐well electrical measurement as known in the oil industry is a method for determining the electrical conductivity distribution between boreholes from the electrostatic field measurements in the boreholes. We discuss the reconstruction of the conductivity distribution of a three‐dimensional domain. The measured secondary electric potential field is represented in terms of an integral equation for the vector electric field. This integral equation is taken as the starting point to develop a non‐linear inversion method, the so‐called contrast source inversion (CSI) method. The CSI method considers the inverse scattering problem as an inverse source problem in which the unknown contrast source (the product of the total electric field and the conductivity contrast) in the object domain is reconstructed by minimizing the object and data error using a conjugate‐gradient step, after which the conductivity contrast is updated by minimizing only the error in the object. This method has been tested on a number of numerical examples using the synthetic ‘measured’ data with and without noise. Numerical tests indicate that the inversion method yields a reasonably good reconstruction result, and is fairly insensitive to added random noise.

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2001-12-24
2024-04-26
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References

  1. AbramowitzM. & StegunI.A.1970. Handbook of Mathematical Functions, p. 884. Dover Publications Inc.
  2. AbubakarA.1996. Non‐linear inversion in electrode logging using the modified gradient method. MSc thesis, Delft University of Technology, The Netherlands.
  3. AbubakarA. & Van den BergP.M.1998. Three‐dimensional non‐linear inversion in cross‐well electrode logging. Radio Science33, 9891004.
    [Google Scholar]
  4. AlumbaughD.L. & MorrisonH.F.1995. Theoretical and practical considerations for crosswell electromagnetic tomography assuming a cylindrical geometry. Geophysics60, 846870.
    [Google Scholar]
  5. ChewW.C. & WangY.M.1990. Reconstruction of two‐dimensional permittivity distribution using the distorted Born iterative method. IEEE Transactions on Medical Imaging9, 218225.
    [Google Scholar]
  6. DailyW. & OwenE.1991. Cross‐borehole resistivity tomography. Geophysics56, 12281235.
    [Google Scholar]
  7. De HoopA.T.1995. Handbook of Radiation and Scattering of Waves, pp. 719729. Academic Press Inc.
  8. LovellJ.R.1993. Finite element methods in resistivity logging, pp. 4748. PhD thesis, Delft University of Technology, The Netherlands.
  9. NewmanG.1995. Crosswell electromagnetic inversion using integral and differential equations. Geophysics60, 899911.
    [Google Scholar]
  10. PressW.H., Teukolsky S.a, VetterlingW.T., FlanneryB.P.1992. Numerical Recipes in Fortran: The Art of Scientific Computing, pp. 490525. Cambridge University Press.
  11. Torres‐VerdinC. & HabashyT.M.1994. Rapid 2.5‐dimensional forward modeling and inversion via a new non‐linear scattering approximation. Radio Science29, 10511079.
    [Google Scholar]
  12. Torres‐VerdinC. & HabashyT.M.1995. A two‐step linear inversion of two‐dimensional electrical conductivity. IEEE Transactions on Antennas and Propagation43, 405415.
    [Google Scholar]
  13. Van BladelJ.1991. Singular Electromagnetic Fields and Sources. Clarendon Press, Oxford.
  14. Van den BergP.M.1981. Iterative computational techniques in scattering based upon the integrated square error criterion. IEEE Transactions on Anennas and Propagation32, 10631071.
    [Google Scholar]
  15. Van den BergP.M. & KleinmanR.E.1997. Contrast source inversion method. Inverse Problems13, 16071620.
    [Google Scholar]
  16. ZwambornA.P.M. & Van den BergP.M.1994. Computation of electromagnetic fields inside strongly inhomogeneous objects by the weak‐conjugate gradient FFT method. Journal of the Optical Society11, 14141421.
    [Google Scholar]
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  • Article Type: Research Article

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