Quantitative modeling in fluvial facies reservoir
Zhong Lin Wang
Abstract
Zhong Lin Wang
Abstract
Seidimentary microfacies, the spreding of the sand body, reservoir frame, reservoir and fluid characteristic, reservoir heterogeneity and individual-well model were studied in Zhong-7 district in Gudong oil field in order to find a effective method in reservoir stochastic modeling by using comprehensive theory and technology. Considering of the high heterogeneity in fluvial facies reservoir, several methods of reservoir modeling in 2-D and 3-D were studied and analyzed and the result indicates that indicator simulation is the best method in fluvial facies reservoir quantitative modeling. Quantitative model was build in Zhong-7 district and the effect is excellent.
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Seidimentary microfacies, the spreding of the sand body, reservoir frame, reservoir and fluid characteristic, reservoir heterogeneity and individual-well model were studied in Zhong-7 district in Gudong oil field in order to find a effective method in reservoir stochastic modeling by using comprehensive theory and technology. Considering of the high heterogeneity in fluvial facies reservoir, several methods of reservoir modeling in 2-D and 3-D were studied and analyzed and the result indicates that indicator simulation is the best method in fluvial facies reservoir quantitative modeling. Quantitative model was build in Zhong-7 district and the effect is excellent.
Key concepts: Facies, Fluvial, Reservoir modeling, Geology, Oil field, Petroleum engineering, Petrology, Geomorphology