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| | 講演要旨(英文) | | Complex spatial configurations are usually represented as a limited number of 2D maps and cross-sections. The computer base reservoir modeling enables us to overcome this problem by subdividing the reservoir volume into a 3D grid of discrete volume cells which can be used as a database to integrate all available information. The information about the spatial petrophysical behavior in between the wells can only be accessed using reservoir modeling techniques. In this study, Sequential Gaussian Simulation (SGS) and Gaussian Indicator Simulation (GIS) were used for facies and petrophysical modeling from well log data and potential zones were identified using three-dimensional reservoir modeling in a Lower Goru tight sand reservoir. The results show that Lower Goru has optimum conditions for production of hydrocarbons at the north of well-A and South of well-E in Sawan Gas Field. However, sand-shale intercalations at the bottom of the reservoir reveal poor petrophysical properties and need to be investigated through laboratory data. |
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