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- W2263053122 abstract "The prediction of seismic reservoirs in East China Sea Basin is very challenging because the target zone is deeply buried (more than 4km) with low porosity and low permeability, and the incident angle of the seismic data is finite. The delta plain facies underwater distributary channel sedimentary characteristics indicate that the mainly oil and gas accumulation pattern in this area is lithologic trap. Therefore, it is very important to accurately map the lithofacies in this area. In this paper, we have developed an interpretation method to predict lithofacies from seismic data where we integrate statistical rock physics with high precision prestack seismic inversion in a Bayesian framework. To constrain the inversion process and make the inversion results more consistent with geological features, we used seismic facies controlled inversion techniques. Application on a two-dimensional section in East China sea has shown good agreement with actual well logging data." @default.
- W2263053122 created "2016-06-24" @default.
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- W2263053122 date "2015-06-01" @default.
- W2263053122 modified "2023-09-23" @default.
- W2263053122 title "Mapping Lithofacies by Combining Bayesian AVO Inversion with Statistical Rock Physics in a East China Sea Reservoir" @default.
- W2263053122 doi "https://doi.org/10.3997/2214-4609.201413235" @default.
- W2263053122 hasPublicationYear "2015" @default.
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