ABSTRACT

A new joint inversion algorithm to directly estimate reservoir parameters by combined seismic amplitude versus offset (AVO) and marine controlled source electromagnetic (CSEM) data is presented. The approach relies on a rock-properties model to link the geophysical parameters to the reservoir parameters. Tests of the concept on one-dimensional models demonstrate improved fluid saturation and porosity estimates for joint AVO & CSEM data inversion compared to AVO alone. Errors in the rock-properties model parameters introduce errors of comparable size in the joint inversion reservoir parameter estimates.

Keywords:
joint inversion, inversion algorithm, direct reservoir parameter estimation, sensitivity, florence cassassuce, inversion, artificial intelligence, hoversten, csem data, reservoir characterization
Subjects:
Reservoir Characterization, Seismic processing and interpretation
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2004. Society of Exploration Geophysicists
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