1,901
Views
0
CrossRef citations to date
0
Altmetric
Articles

Artificial intelligence techniques to the interpretation of geophysical measurements

References

  • Calcagno, P., Courrioux, G., Guillen, A., Chiles, J.-P., 2008. Geological modelling from field data and geological knowledge. Part I. Modelling method coupling 3D potentialfield interpolation and geological rules. Physics of the earth and planetary interiors. Vol 171
  • FitzGerald, D. Holstein, H., Foss, C., 2011, Automatic modelling and inversion for dykes from magnetic tensor gradient profiles – recent progress: SEG Extended Abstracts, Houston.
  • FitzGerald, D., and H. Holstein, 2014, Structural geology observations derived from full tensor gravity gradiometry over rift systems: 84th SEG Annual meeting, Expanded Abstracts.
  • FitzGerald, D., Milligan, P., 2013, Defining a deep fault network for Australia, using 3D “worming”: ASEG Extended Abstracts, Melbourne.
  • Guillen, A., Calcagno, P., Courrioux, G., Joly, A., Ledru, P., 2008. Geological modelling from field data and geological knowledge, Part II. Modelling validation using gravity and magnetic data inversion. Physics of the Earth and Planetary Interiors 171, 158–169.
  • Hatch, D. 2004. Evaluation of a full tensor gravity gradiometer for kimberlite exploration. Airborne Gravity 2004: Abstracts from the ASEG-PESA Airborne Gravity 2004 Workshop, 73-79.
  • Jaques, A. L., 2005. Australian diamond deposits, kimberlites, and related rocks, 1:5 000 000 scale map, Geoscience Australia, Canberra. GA7562.pdf
  • Keating, P, Sailhac, P. 2004. Use of the analytic signal to identify magnetic anomalies due to kimberlite pipes. Geophysics, Vol. 69, NO. 1 (January -February 2004); P. 180–190
  • Meyer, T. 2015. Processing gravity gradients to detect kimberlite pipes. 24th ASEG-PESA 2015 Conference.
  • Pakyuz-Charrier, E., Lindsay, M., Ogarko1, V., Giraud, J., Jessell, M., 2017, Monte Carlo Simulations for Uncertainty Estimation in 3D Geological Modeling, A Guide for Disturbance Distribution Selection and parameterization.
  • Smith, G.B., 1991. Application of Artificial Intelligence Techniques to the Interpretation of Geophysical Measurements. Australian Artificial Intelligence Institute. (available on request)

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.