Ensemble-based joint inversion of PP and PS seismic data using full Zoeppritz equations
- Mingliang Liu (University of Wyoming) | Dario Grana (University of Wyoming)
- Document ID
- Society of Exploration Geophysicists
- 2018 SEG International Exposition and Annual Meeting, 14-19 October, Anaheim, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Exploration Geophysicists
- AVO/AVA, Inversion, Reservoir characterization, Prestack, 3C
- 1 in the last 30 days
- 14 since 2007
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In this work, we propose a stochastic nonlinear inversion framework for PP and PS seismic data based on the ensemble smoother with multiple data assimilations (ESMDA) to estimate elastic reservoir properties with uncertainty quantification. The ES-MDA is an iterative ensemble-based data assimilation method that generates an ensemble of solutions of the inverse problem. In our approach, it is applied to a seismic inversion problem in which the full Zoeppritz equations, without linearization, are used to improve the inversion accuracy. The ensemble of updated reservoir realizations obtained by assimilating seismic data allows evaluating the associated model uncertainty. To avoid the model uncertainty be underestimated in the ensemble-based approach, we propose to apply the ES-MDA in a lower-dimensional data space obtained by the re-parameterization of PP and PS seismic data using the singular value decomposition (SVD). The proposed inversion framework is validated using a synthetic seismic trace in a gas reservoir, and the inversion results show an accurate description of the reference models.
Presentation Date: Wednesday, October 17, 2018
Start Time: 1:50:00 PM
Location: 206A (Anaheim Convention Center)
Presentation Type: Oral
|File Size||1 MB||Number of Pages||5|
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