487
Views
2
CrossRef citations to date
0
Altmetric
Articles

An AI approach to using magnetic gradient tensor analysis for quick depth and property estimation

, &

References

  • Beike, M., Clark, D.A., Austin, J.R. and Foss, C.A. 2012, Estimating source location using normalized magnetic source strength calculated from magnetic gradient tensor data: Geophysics, 77, (6), J23-J37.
  • Clark, D.A., 2012, New methods for interpretation of magnetic vector and gradient tensor data I: eigenvector analysis and the normalised source strength: Exploration Geophysics, 43, 267-282.
  • Clark, D.A. 2014, Methods for determining remanent and total magnetisations of magnetic sources – a review. Exploration Geophysics, 45, 271-304.
  • Ganssle, G., 2018, Neural networks. The Leading Edge, 37(8)., p. 616-619.
  • Kim, Y. and Nakata, N., 2018, Geophysical inversion versus machine learning in inverse problems. The Leading Edge, 37(12)., p. 894-901.
  • McKenzie, K.B., 2019, The magnetic tensor of a triaxial ellipsoid, its derivation and its application to the determination of magnetisation direction (Exploration Geophysics, in press).
  • Nelson, J.B. 1988, Comparison of gradient analysis techniques for linear two-dimensional magnetic sources. Geophysics 53, (8), p. 1088–1095.
  • Pedersen, L.B. and Rasmussen, T.M., 1990, The gradient tensor of potential field anomalies: Geophysics, 55 (12), 1558-1566.
  • Peters, L.J. 1949, The direct approach to magnetic interpretation and its practical application. Geophysics, 14(3), 290-320.
  • Pratt, D.A., McKenzie, K.B., White, A.S., Foss, C.A., Shamin, A. and Shi, Z., 2001 A user guided expert system approach to 3D interpretation of magnetic anomalies. Extended Abstracts, ASEG 15th Geophysical Conference and Exhibition, Brisbane.
  • Pratt, D.A., Parfrey, K., White, A.S. and McKenzie, K.B. 2018, ModelVision v16.0 User Guide, pub. Tensor Research, 599p.
  • Salem, A., Williams, S., Fairhead, J.D., Ravat, D. and Smith, R. 2007, Tilt-depth method: A simple depth estimation method using first-order magnetic derivatives. Leading Edge, 26(12), p. 1502-1505.
  • Thompson, D.T., 1982, EULDPH: A new technique for making computer-assisted depth estimates from magnetic data. Geophysics, 47(1), p. 31-37.
  • Waldeland, A.U., Jensen, A.C. Gelius, C.L., and Schistad Solberg, A.H., 2018, Convolutional neural networks for automated seismic interpretation. The Leading Edge, 37(7), p. 529-537.
  • Werner, S. 1953, Interpretation of magnetic anomalies at sheet-like bodies. In Sveriges Geologiska Undersok Series C.C. Arsbok 43, N:06.
  • Wilson, H., 1985, Analysis of the magnetic gradient tensor. Defence Research Establishment Pacific, Canada, Technical Memorandum, 85–13, 47.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.