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- W2565646564 abstract "Modeling of naturally fractured reservoirs is associated with the uncertainties due to the lack of sufficient field data. Two m ajor approaches exist to simulate naturally fractured reservoirs, namely tectonic and st atistical simulations. Tectonic simulation is a powerful tool to estimate the probability of the presence of fracture based on the defo rmation history of the basin. Also there exists a wide variety of statistical appr oaches to model naturally fractured reservoirs. In this study a combination of tectonic and sta tistical modeling technique is utilized to get more accurate results. Fin ite element method is used to model folding/unfolding of tecton ic events to construct a 3D map of fracture probability in the re servoir layer. Then an object based conditional global optimizati on technique is used to integrate results of the tectonic simulatio n and all other field data, such as seismic attributes, core de scriptions, borehole images, well logs etc. to simulate the discrete fracture network. The pr oposed hybrid model improves the results over existing modeling techniques such as, stochastic simulation due to utilizing continuou s data in both horizon tal and vertical di rections. The methodology is presented through a case st udy of Palm Valley gas Field in Australia. The results show that the model is abl e to simulate discrete fracture network of petroleum reservoir with great accuracy while hard data is not available." @default.
- W2565646564 created "2017-01-06" @default.
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- W2565646564 date "2012-01-01" @default.
- W2565646564 modified "2023-09-26" @default.
- W2565646564 title "Discrete Fracture Network Simulation: Application of Tectonic Simulation and Conditional Global Optimization Technique*" @default.
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