A New Method for Building Porosity and Permeability Models of a Fractured Granite Basement Reservoir |
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| Authors: | T. B. N. Nguyen L. A. Nguyen T. Q. C. Dang |
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| Affiliation: | 1. Department of Earth and Environmental Sciences, Sejong University, Seoul, Korea;2. Research and Engineering Institute, Vietsovpetro JV, Vung Tau City, Vietnam;3. Chemical and Petroleum Engineering Department, Calgary University, Calgary, Alberta, Canada |
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| Abstract: | This paper presents the procedure and results of building porosity and permeability models for a fractured basement reservoir in offshore Vietnam by using Artificial Neural Network (ANN) method. ANN may help solve problems that conventional computing has not been successful with. Thus, ANN is a method, which could provide an accurate model for fractured basement reservoirs. Moreover, well log data combine seismic attributes to establish the property model. Well log data were used as the indicator to test the accuracy of the models. This study shows the 3D models of porosity and the permeability models. |
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| Keywords: | ANN fractured basement reservoirs porosity and permeability models seismic attributes well log data |
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