1887
Volume 49, Issue 3
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

[

3D controlled-source audio frequency magnetotelluric (CSAMT) responses can be distorted strongly by topography and should be accounted for in data inversion and interpretation. In this paper we present a scheme to incorporate topographic distortions into the inversion instead of correcting them. This approach has been verified by comparing the modelling results with 2D FEM CSAMT solutions and synthetic inversion examples. Compared with the responses generated from a half-space model with flat surface, it is found that not only the topography in the survey area but also that at the source position may strongly distort the CSAMT responses. The field example indicates that results with topography are much better than those without considering topography to map the distribution of coal seam underground, which also illustrates the effectiveness of our approach.

,

In this paper, we present a scheme to incorporate 3D controlled-source audio frequency magnetotelluric (CSAMT) topographic distortions into the 3D inversion instead of correcting them. This approach has been verified by comparison with 2D FEM CSAMT solutions and synthetic inversion examples. The field example also illustrates the effectiveness of our approach.

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/content/journals/10.1071/EG16067
2018-06-01
2026-01-24
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References

  1. Chave A. D. 1983 Numerical integration of related Hankel transforms by quadrature and continued fraction expansion: Geophysics 48 1671 1686 10.1190/1.1441448
    https://doi.org/10.1190/1.1441448 [Google Scholar]
  2. Commer M. Newman G. 2008 New advances in three-dimensional controlled-source electromagnetic inversion: Geophysical Journal International 172 513 535 10.1111/j.1365‑246X.2007.03663.x
    https://doi.org/10.1111/j.1365-246X.2007.03663.x [Google Scholar]
  3. Key K. Ovall J. 2011 A parallel goal-oriented adaptive finite element method for 2.5-D electromagnetic modeling: Geophysical Journal International 186 137 154 10.1111/j.1365‑246X.2011.05025.x
    https://doi.org/10.1111/j.1365-246X.2011.05025.x [Google Scholar]
  4. Li S. H. Booker J. R. Aprea C. 2008 Inversion of magnetotelluric data in the presence of strong bathymetry/topography: Geophysical Prospecting 56 259 268 10.1111/j.1365‑2478.2007.00677.x
    https://doi.org/10.1111/j.1365-2478.2007.00677.x [Google Scholar]
  5. Lin C. H. Tan H. D. Tong T. 2011 Three-dimensional conjugate gradient inversion of magnetotelluric full information data: Applied Geophysics 8 1 10 10.1007/s11770‑010‑0266‑9
    https://doi.org/10.1007/s11770-010-0266-9 [Google Scholar]
  6. Lu X. Y. Unsworth M. Booker J. 1999 Rapid relaxation inversion of CSAMT data: Geophysical Journal International 138 381 392 10.1046/j.1365‑246X.1999.00871.x
    https://doi.org/10.1046/j.1365-246X.1999.00871.x [Google Scholar]
  7. Mackie R. L. Madden T. R. 1993 Three-dimensional magnetotelluric inversion using conjugate gradients: Geophysical Journal International 115 215 229 10.1111/j.1365‑246X.1993.tb05600.x
    https://doi.org/10.1111/j.1365-246X.1993.tb05600.x [Google Scholar]
  8. Mackie, R., Watts, M. D., and Rodi, W., 2007, Joint 3D inversion of marine CSEM and MT data: 77th Annual International Meeting, SEG, Expanded Abstracts, 574–578.
  9. Madden T. R. Mackie R. L. 1989 Three-dimensional magnetotelluric modeling and inversion: Proceedings of the IEEE 77 318 333 10.1109/5.18628
    https://doi.org/10.1109/5.18628 [Google Scholar]
  10. Nam M. J. Kim H. J. Song Y. Lee T. J. Son J. S. Suh J. H. 2007 3D magnetotelluric modeling including surface topography: Geophysical Prospecting 55 277 287 10.1111/j.1365‑2478.2007.00614.x
    https://doi.org/10.1111/j.1365-2478.2007.00614.x [Google Scholar]
  11. Newman G. A. Alumbaugh D. L. 1995 Frequency-domain modeling of airborne electromagnetic responses using staggered finite differences: Geophysical Prospecting 43 1021 1042 10.1111/j.1365‑2478.1995.tb00294.x
    https://doi.org/10.1111/j.1365-2478.1995.tb00294.x [Google Scholar]
  12. Newman G. A. Alumbaugh D. L. 2000 Three-dimensional magnetotelluric inversion using non-linear conjugate gradients: Geophysical Journal International 140 410 424 10.1046/j.1365‑246x.2000.00007.x
    https://doi.org/10.1046/j.1365-246x.2000.00007.x [Google Scholar]
  13. Newman G. A. Boggs P. T. 2004 Solution accelerators for large-scale three-dimensional electromagnetic inverse problems: Inverse Problems 20 S151 S170 10.1088/0266‑5611/20/6/S10
    https://doi.org/10.1088/0266-5611/20/6/S10 [Google Scholar]
  14. Nocedal, J., and Wright, S. J., 2006, Numerical optimization: Springer-Verlag.
  15. Penz S. Chauris H. Donno D. Mehl C. 2013 Resistivity modeling with topography: Geophysical Journal International 194 1486 1497 10.1093/gji/ggt169
    https://doi.org/10.1093/gji/ggt169 [Google Scholar]
  16. Rodi W. Mackie R. L. 2001 Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion: Geophysics 66 174 187 10.1190/1.1444893
    https://doi.org/10.1190/1.1444893 [Google Scholar]
  17. Schwarzbach C. Börner R.-U. Spitzer K. 2011 Three-dimensional adaptive higher order finite element simulation for geo-electromagnetics – a marine CSEM example: Geophysical Journal International 187 63 74 10.1111/j.1365‑246X.2011.05127.x
    https://doi.org/10.1111/j.1365-246X.2011.05127.x [Google Scholar]
  18. Smith J. T. 1996 Conservative modeling of 3D electromagnetic fields part II: biconjugate gradient solution and an accelerator: Geophysics 61 1319 1324 10.1190/1.1444055
    https://doi.org/10.1190/1.1444055 [Google Scholar]
  19. Streich R. 2009 3D finite-difference frequency-domain modeling of controlled-source electromagnetic data: direct solution and optimization for high accuracy: Geophysics 74 F95 F105 10.1190/1.3196241
    https://doi.org/10.1190/1.3196241 [Google Scholar]
  20. Tan H. D. Yu Q. F. Booker J. Wei W. B. 2003 Three-dimensional magnetotelluric modeling using the staggered-grid finite difference method: Chinese Journal of Geophysics 46 1011 1020 10.1002/cjg2.420
    https://doi.org/10.1002/cjg2.420 [Google Scholar]
  21. Tikhonov, A. N., and Arsenin, V. Y., 1977, Solutions of ill-posed problems: V. H. Winston and Sons.
  22. Unsworth M. J. Bryan J. T. Alan D. C. 1993 Electromagnetic induction by a finite electric dipole source over a 2-D earth: Geophysics 58 198 214 10.1190/1.1443406
    https://doi.org/10.1190/1.1443406 [Google Scholar]
  23. Wannamaker P. E. Stodt J. A. Rijo L. 1986 Two-dimensional topographic responses in magnetotellurics modeled using finite elements: Geophysics 51 2131 2144 10.1190/1.1442065
    https://doi.org/10.1190/1.1442065 [Google Scholar]
  24. Ward, S. H., and Hohmann, G. W., 1988, Geophysical electromagnetic theory, in M. N. Nabighian, ed., Electromagnetic methods in applied geophysics, volume 1, Theory: Society of Exploration Geophysicists.
  25. Wu X. P. Xu G. M. 2000 Study on 3-D resistivity inversion using conjugate gradient method: Chinese Journal of Geophysics 43 450 458 10.1002/cjg2.55
    https://doi.org/10.1002/cjg2.55 [Google Scholar]
  26. Zhdanov M. S. Lee S. K. Yoshioka K. 2006 Integral equation method for 3D modeling of electromagnetic fields in complex structures within homogeneous background conductivity: Geophysics 71 G333 G345 10.1190/1.2358403
    https://doi.org/10.1190/1.2358403 [Google Scholar]
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  • Article Type: Research Article
Keyword(s): 3D inversion; CSAMT; topography

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