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Bayesian Inversion of TIV Anisotropic CSEM Data

Authors
Anandaroop Ray (Scripps Institution of Oceanography) | Kerry Key (Scripps Institution of Oceanography)
Document ID
SEG-2012-1546
Publisher
Society of Exploration Geophysicists
Source
2012 SEG Annual Meeting, 4-9 November, Las Vegas, Nevada
Publication Date
2012
Document Type
Conference Paper
Language
English
Copyright
2012. Society of Exploration Geophysicists
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SUMMARY

The ability of the marine controlled source electromagnetic method to resolve anisotropy in the sediment conductivity is not very well understood. In this study, we address the resolvability of anisotropy using a Bayesian approach. Two markedly different methods, slice sampling and reversible jump Markov Chain Monte Carlo have been used for the Bayesian inversion of a synthetic model of a resistive oil reservoir trapped beneath the seabed. We use this to identify which components of data can provide the strongest constraints on anisotropy in the overburden, reservoir and underlying sediments.
File Size  620 KBNumber of Pages   5

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