Joint stochastic inversion of geophysical data for reservoir parameter estimation

SEG Technical Program Expanded Abstracts

Volumn 22, Issue 1, 2003, Pages 726-729

  Chen, Jinsong ^a   Michael Hoversten, G ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 62549124404     PISSN: 10523812     EISSN: 19494645     Source Type: Conference Proceeding    
DOI: 10.1190/1.1818036     Document Type: Conference Paper

References (9)

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3. Eidsvik, J., Henning, O., Mukerji, T., Mavko, G., and Avseth, P., 2002, Seismic reservoir prediction using Bayesian integration of rock physics and Markov random fields: A North Sea example: The Leading Edge, 290-294.
4. Gelman, A. and Rubin, D., 1992, Inference from iterative simulation using multiple sequences: Statistical Science, 7, 457-511.
5. Gilks, W., Richardson, S., and Spiegelhalter, D., 1996, Markov Chain Monte Carlo in Practice: Chapman & Hall/CRC, New York.
6. Hoversten, M., Gritto, R., Washbourne, J., and T. Daily, 2002, Fluid saturation and pressure prediction in a multicomponent reservoir by combined seismic and electromagnetic imaging:72nd Ann. Internat. Mtg., Soc. Expl. Geophys.
7. Newman, G. A., 1995, Crosswell electromagnetic inversion using integral and differential equations: Geophysics, 60, 899-911.
8. Peterson, J. E., Paulsson, B. N., and McEvilly, T. V., 1985, Applications of algebraic reconstruction techniques to crosshole seismic data: Geophysics, 50, 1566-1580.
9. Stone, C. J., 1995, A Course in probability and statistics:Duxbury, New York.