1887
ASEG2012 - 22nd Geophysical Conference
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

Summary

In this paper we will first review the industry-standard continuous simultaneous inversion methods and point out some shortcomings. We will then introduce our new joint categorical/continuous simultaneous inversion technology, which reformulates the problem to address these issues. It casts the inversion as a Bayesian problem, which needs to be solved iteratively, as the inversion to categorical and continuous properties cannot be written down in closed form. We present some examples and conclude that the new inversion is able to overcome the shortcomings mentioned.

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/content/journals/10.1071/ASEG2012ab128
2012-12-01
2026-01-15
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References

  1. Buland, A. and Omre, H., 2003, Bayesian linearized AVO inversion, Geophysics, 68, 185–198.
  2. Fatti, J.L., Smith, G.C., Vail, P.J., Straus, P.J. and Levitt, P.R., 1994, Detection of gas in sandstone reservoir using AVO analysis: a 3D seismic case history using the Geostack technique, Geophysics, 59, 1362-1376.
  3. Gunning, J. and Glinsky, M.E.,2004, Delivery: an open– source model–based Bayesian seismic inversion program. Computers and Geo-sciences, 30, 619−636.
  4. Gunning, J. and Kemper, M., 2011, Some newer algorithms for joint categorical and continuous inversion problems. Inversion Workshop, 73rd annual conference, EAGE, Vienna.
/content/journals/10.1071/ASEG2012ab128
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  • Article Type: Research Article
Keyword(s): Bayes' theorem; seismic inversion
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