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• W2015163964 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2005MRE‐based bayesian inversion of seismic and EM data for identification of reservoir parametersAuthors: Zhangshuan HouYoram RubinG. Michael HoverstenJinsong ChenDon VascoZhangshuan HouUniversity of California, BerkeleySearch for more papers by this author, Yoram RubinUniversity of California, BerkeleySearch for more papers by this author, G. Michael HoverstenLawrence Berkeley National LaboratorySearch for more papers by this author, Jinsong ChenLawrence Berkeley National LaboratorySearch for more papers by this author, and Don VascoLawrence Berkeley National LaboratorySearch for more papers by this authorhttps://doi.org/10.1190/1.2147959 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract A stochastic joint inversion approach for estimating reservoir fluid saturations and porosity is proposed. The approach couples seismic amplitude versus angle (AVA) and marine controlled source electromagnetic (CSEM) forward models into a Bayesian formalism, which allows for integration between complementary information. To obtain minimally subjective prior probabilities required for the Bayesian approach, the principle of Minimum Relative Entropy (MRE) is employed. Instead of single‐valued estimate provided by deterministic methods, the approach gives a probability distribution for any unknown parameter of interest, such as reservoir fluid saturations or porosity at different locations. The distributions means, modes, and confidence intervals can be calculated, providing a more complete understanding of the uncertainty in the parameter estimates. The approach is tested using two case studies: one is a synthetic case, and the other uses data from the North Sea Troll field. Results show that joint inversion using seismic and EM data gives better estimates of reservoir parameters than estimates from either geophysical data set used in isolation.Permalink: https://doi.org/10.1190/1.2147959FiguresReferencesRelatedDetailsCited By3. Exploration Appraisal21 March 2010Detecting hydrocarbon reservoirs from CSEM data in complex settings: Application to deepwater Sabah, MalaysiaMathieu Darnet, Matthew C. Choo, René-Edouard Plessix, Mark L. Rosenquist, Kok Yip-Cheong, Eldon Sims, and John W. Voon1 March 2007 | GEOPHYSICS, Vol. 72, No. 2 SEG Technical Program Expanded Abstracts 2005ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2005 Pages: 2668 publication data© 2005 Copyright © 2005 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 07 Dec 2005 CITATION INFORMATION Zhangshuan Hou, Yoram Rubin, G. Michael Hoversten, Jinsong Chen, and Don Vasco, (2005), MRE‐based bayesian inversion of seismic and EM data for identification of reservoir parameters, SEG Technical Program Expanded Abstracts : 1437-1440. https://doi.org/10.1190/1.2147959 Plain-Language Summary PDF DownloadLoading ..." @default.
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