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- W2324492878 abstract "Geostatistical inversion using the Markov Chain Monte Carlo algorithm (MCMC) based on Bayesian fuzzy discrimination of the lithology，provide a quantitative way to integrate the high vertical resolution of well logs with the dense aerial coverage of 3D seismic data, to produce a series of highly detailed P-impedance realizations, and then to get sandstone probability as the final result through the uncertainty analysis based on these multiple realizations. The result not only keeps a higher resolution compared to the constrained sparse spike inversion, and can let the reservoir engineers to know more uncertainty risk.The method successfully applied in the super thin reservoirs prediction in Bohai sea K oilfield, is proved for the feasibility and effectiveness to solve the identification problems of super thin reservoirs. Therefore it can reduce the risk of oilfield development and has a certain value for industrial application." @default.
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- W2324492878 date "2015-06-01" @default.
- W2324492878 modified "2023-09-23" @default.
- W2324492878 title "Application of Geostatistical Inversion for Super Thin Reservoir Prediction" @default.
- W2324492878 doi "https://doi.org/10.3997/2214-4609.201412823" @default.
- W2324492878 hasPublicationYear "2015" @default.
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