1887
1st Australasian Exploration Geoscience Conference – Exploration Innovation Integration
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

An efficient, accurate, multi-grid algorithm has been implemented for the modeling of airborne, land, and marine controlled source electromagnetic data, providing accurate 3D depth inversions of frequency and time domain data with cost-effective compute timelines. This is achieved by decoupling the inversion grid from the modeling grid used in the finite difference simulation of the fields. The approach helps also when inverting data from different methods jointly.

The model grid consists of columns of prisms that can be arbitrarily dimensioned. This helps to discretize in particular the topography and other interfaces without densely discretizing the upper part of the resistivity model. By setting the horizontal smoothing accordingly, the general geological setting of the survey area can be easily taken into account.

Depending on the specifics of the implementation, other structural information will impact the chosen discretization.

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2018-12-01
2026-01-18
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References

  1. Commer M. and G. A. Newman, 2006, New advances in three-dimensional controlled-source electromagnetic inversion, Geophys. J. Int., vol. 172, 2, 513-535.
  2. Constable, S.C, R.L. Parker and C.G. Constable, 1987, Occam’s inversion: A practical algorithm for generating smooth models from electromagnetic sounding data, Geophysics, 52, 289-300.
  3. Cox, L. H., and M. S. Zhdanov, 2008, Advanced computational methods for rapid and rigorous 3D inversion of airborne electromagnetic data: Communications in Computational Physics, 3, 160-179.
  4. Cox, L. H., G. A. Wilson, and M. S. Zhdanov, 2010, 3D inversion of airborne electromagnetic data using a moving footprint: Exploration Geophysics, 41, 250-259.
  5. Gallardo, L. A. and Meju, M. A., 2003, Characterization of heterogeneous near-surface materials by joint 2D inversion of dc resistivity and seismic data. Geophys. Res. Lett., 30, 1658.
  6. Haber, E. and C. Schwarzbach, 2014, Parallel inversion of large-scale airborne time-domain electromagnetic data with multiple OcTree meshes, Inverse Problems, 30, no. 5.
  7. Langenberg, C.W., and LeDrew, J., 2001, Geological Map: Coal Valley, NTS Mapsheet 83F/2, 1:50,000 map with cross sections. Alberta Geological Survey Map 237.
  8. Li, X. and M. Chouteau, M., 1998, Three-Dimensional Gravity Modeling In All Space, Surveys in Geophysics 19: 339. doi:10.1023/A:1006554408567.
  9. McGillivray, P.R., D.W. Oldenburg, R.G. Ellis and T.M. Habashy, 1994, Calculation of sensitivities for the frequency-domain electromagnetic problem, Geophys. J. Int., 116, 1-4.
  10. Moskow, S., V. Druskin, T. Habashy, P. Lee and S. Davydycheva, 1999, A finite difference scheme for elliptic equations with rough coefficients using a cartesian grid nonconforming to interfaces, SIAM J. Numer. Anal., 36, No. 2, 442-464.
  11. Plessix, R-E-, M. Darnet and W.A. Mulder, 2007, An approach for 3D multisource, multifrequency CSEM modeling, Geophysics, 72, No. 5, SM177-SM184.
  12. Raiche, A., F. Sugeng and G. Wilson, 2007, Practical 3D EM inversion - P223F software suite: ASEG 19th Geophysical Conference and Exhibition, Perth, Australia.
  13. Rodi and Mackie, 2001, Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion, Geophysics, 66, no. 1, p. 174-187.
  14. Scholl, C. and V.A. Sinkevich, 2012, Modeling mCSEM data with a finite difference approach and an unstructured model grid in the presence of bathymetry, 21st EM Induction Workshop, Darwin, Australia.
  15. Scholl, C., S. Hallinan, F. Miorelli, M.D. Watts, 2017, Geological Consistency from Inversions of Geophysical Data, EAGE 2017, Paris, France.
  16. Smit, J., J. Hooper, A. Smiarowski and C. Scholl, 2018, Mineral Exploration in the Mount Lyell region of Tasmania with the Helitem35C® System, Extended abstract, AEGC2018, Sydney, Australia.
  17. Stoyer, C.H. and R.J. Greenfield, 1976, Numerical Solutions of the response of a two-dimensional earth to an oscillating magnetic dipole source, Geophysics, 41, 519-530.
  18. Weidelt, P., 2006, Quasistatic harmonic and transient Fields of electric and magnetic dipoles in a layered Earth: Lecture notes, Institute of Geophysics and Extraterrestrial Physics, Technical University of Braunschweig, Germany.
  19. Yang, D., D. W. Oldenburg and E. Haber, 2014, 3-D inversion of airborne electromagnetic data parallelized and accelerated by local mesh and adaptive soundings, Geophys. J. Int., vol. 196, 3, 1492-1507.
  20. Zhdanov, M.S., 2002, Geophysical inverse theory and regularization problems: Elsevier.
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  • Article Type: Research Article
Keyword(s): airborne electromagnetics; multidimensional inversion; x-gradient
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