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Artificial Intelligence: Excellent Key for Developing E&P Oil Industry in Iraq | ||
| Journal of Petroleum Research & Studies | ||
| Article 1, Volume 190, Issue 2, 2011, Pages 1-25 | ||
| Authors | ||
| Wathiq j.Almudhafer; Maitham A.Shaheed | ||
| Abstract | ||
| Abstract A Multidisciplinary study for in-creasing oil recovery has been made in the present paper. This work has been adopted in the Upper Sand-stone member/Zubair formation in South Rumaila Oil Field. The work was achieved by using optimization techniques for determining the op-timal future reservoir performance regarding to infill drilling. Two dif-ferent methods of Genetic Algorithm used to optimize the number and lo-cations of infill wells. The first me-thod is simple adaptive genetic algo-rithm and the second one is the breeder adaptive. The main parame-ters depended in this study is the cumulative oil production obtained from the output of reservoir simula-tion software. These two methods of GA depend on using Net Present Value (NPV) as economic analysis as objective function. The optimal number of infill wells is three wells which have maximum cumulative oil production and maximum value of NPV. The same results from two GA methods have been obtained. The locations of these optimal infill wells located in the crest of the oil field. | ||
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