1887
Volume 68, Issue 7
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

We propose the approach to 3D inversion of airborne electromagnetic data, which is intended for discovering subvertical bodies overlapped by essentially inhomogeneous conductive layers. The approach is based on the geometric inversion in which a geoelectrical medium is parameterized with the use of block structures. During the inversion, the coordinates of the borders between the blocks and the rows of the blocks as well as resistivities inside them are determined. In order to solve the forward problem of the airborne electromagnetic survey, we use the non‐conforming optimized mesh with the hexahedral cells, which enables us to reduce the number of degrees of freedom and smoothly approximate the curved borders of a geological medium. For a more reliable discovery of subvertical objects, we propose to carry out 3D inversions at several rotations of block structures relative to the flight lines. The workability of this approach is demonstrated using the data which are synthesized for complex geoelectrical models with topography, inhomogeneous overlapping layers and target subvertical bodies oriented differently relative to the flight lines. The results of this investigation show that, in some way or other, the elongated subvertical object is discovered and its orientation (the direction of its long side) is defined at different rotations of block structures used in 3D inversions. However, the most accurate recovery of the subvertical object length is achieved when the direction of its long side almost coincides with the direction of one of the block structures axes. Thus, the block structures rotations allow not only more reliably discovering a target object in complex geoelectrical conditions, but also more exactly defining its orientation and length.

Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.12979
2020-06-17
2024-04-26
Loading full text...

Full text loading...

References

  1. Grayver, A.V., Streich, R. and Ritter, O. (2013) Three‐dimensional parallel distributed inversion of CSEM data using a direct forward solver. Geophysical Journal International, 193, 1432–1446.
    [Google Scholar]
  2. Haber, E. and Schwarzbach, C. (2014) Parallel inversion of large‐scale airborne time‐domain electromagnetic data with multiple OcTree meshes. Inverse Problems, 30, 055011.
    [Google Scholar]
  3. Kaminski, V., Legault, J.M. and Kumar, H. (2010) The Drybones kimberlite: a case study of VTEM and ZTEM airborne EM results. ASEG Extended Abstracts, 2010(1), 1–4.
    [Google Scholar]
  4. Kaminski, V.F. and Oldenburg, D.W. (2012) The geophysical study of Drybones kimberlite using 3D time domain EM inversion and 3D ZTEM inversion algorithms. ASEG Extended Abstracts, 2012(1), 1–5.
    [Google Scholar]
  5. Liu, Y. and Yin, C. (2016) 3D inversion for multipulse airborne transient electromagnetic data. Geophysics, 81(6), E401–E408.
    [Google Scholar]
  6. Macnae, J. (2015) 3D‐spectral CDIs: a fast alternative to 3D inversion?Exploration Geophysics, 46, 12–18.
    [Google Scholar]
  7. McMillan, M.S., Oldenburg, D.W., Haber, E. and Schwarzbach, C. (2015a) Parametric 3D inversion of airborne time domain electromagnetics. ASEG Extended Abstracts, 2015, 1–5.
    [Google Scholar]
  8. McMillan, M.S., Schwarzbach, C., Haber, E. and Oldenburg, D.W. (2015b) 3D parametric hybrid inversion of time‐domain airborne electromagnetic data. Geophysics, 80(6), K25–K36.
    [Google Scholar]
  9. McMillan, M.S., Schwarzbach, C., Haber, E. and Oldenburg, D.W. (2016) Multiple body parametric inversion of frequency‐ and time‐domain airborne electromagnetics. SEG Technical Program Expanded Abstracts, 846–851.
    [Google Scholar]
  10. Mogilatov, V., Goldman, M., Persova, M., Soloveichik, Y., Koshkina, Y., Trubacheva, O.et al. (2016). Application of the marine circular electric dipole method in high latitude Arctic regions using drifting ice floes. Journal of Applied Geophysics, 135, 17–31.
    [Google Scholar]
  11. Oldenburg, D.W., Haber, E. and Shekhtman, R. (2013) Three dimensional inversion of multisource time domain electromagnetic data. Geophysics, 78(1), E47–E57.
    [Google Scholar]
  12. Persova, M.G., Soloveichik, Y.G., Koshkina, Y.I., Vagin, D.V. and Trubacheva, O.S. (2016) Geometrical nonlinear 3D inversion of airborne time domain em data. Near Surface Geoscience 2016 – First Conference on Geophysics for Mineral Exploration and Mining, Sep 2016, 2016, 1–5. https://doi.org/10.3997/2214-4609.201602114.
    [Google Scholar]
  13. Persova, M.G., Soloveichik, Y.G., Trigubovich, G.M., Vagin, D.V. and Domnikov, P.A. (2014) Transient electromagnetic modelling of an isolated wire loop over a conductive medium. Geophysical Prospecting, 62, 1193–1201.
    [Google Scholar]
  14. Persova, M.G., Soloveichik, Y.G., Trigubovich, G.M. and Tokareva, M.G. (2013) Methods and algorithms for reconstructing three‐dimensional distributions of electric conductivity and polarization in the medium by finite‐element 3D modeling using the data of electromagnetic sounding. Izvestiya. Physics of the Solid Earth, 49(3), 329–343.
    [Google Scholar]
  15. Persova, M.G., Soloveichik, Y.G., Vagin, D.V., Kiselev, D.S. and Koshkina, Y.I. (2020) Finite element solution to 3D airborne time‐domain electromagnetic problems in complex geological media using non‐conforming hexahedral meshes. Journal of Applied Geophysics, 172, 103911.
    [Google Scholar]
  16. Schenk, O. and Gärtner, K. (2004) Solving unsymmetric sparse systems of linear equations with PARDISO. Future Generation Computer Systems, 20, 475–487.
    [Google Scholar]
  17. Soloveichik, Y.G., Persova, M.G., Domnikov, P.A., Koshkina, Y.I. and Vagin, D.V. (2018) Finite‐element solution to multidimensional multisource electromagnetic problems in the frequency domain using non‐conforming meshes. Geophysical Journal International, 212, 2159–2193.
    [Google Scholar]
  18. Yang, D. and Oldenburg, D.W. (2012) Three‐dimensional inversion of airborne time‐domain electromagnetic data with applications to a porphyry deposit. Geophysics, 77(2), B23–B34.
    [Google Scholar]
  19. Yang, D., Oldenburg, D.W. and Haber, E. (2014) 3D inversion of airborne electromagnetic data parallelized and accelerated by local mesh and adaptive soundings. Geophysical Journal International, 196, 1492–1507.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/1365-2478.12979
Loading
/content/journals/10.1111/1365-2478.12979
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): Computing aspects; Electromagnetics; Inversion

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error