Optimization of separator pressures in Marun oilfield with genetic algorithm

Optimization of separator pressures in Marun oilfield with genetic algorithm

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Part of #Optimization of separator pressures in Marun oilfield with genetic algorithm# :

Publishing year : 2014

Conference : Third Scientific Conference on hydrocarbon reservoirs and upstream industries

Number of pages : 8

Abstract: In the oil production industry, one of the most important goals is to produce maximum oil content. Because of the oil pressure drop in the production plants, a remarkable amount of oil is reduced due to the dissolved gas extraction from the liquid. To reduce this volume reduction of oil, some separators with optimal pressures are required. So the main objective of this paper is to determine these desired pressures. For approaching this idea, a MATLAB program has been written that using the modified Peng Robinson equation of state for phase calculation and optimizing the pressures by GA (Genetic Algorithm). This experiment was validated by the experimental data of the separator test and then used the PVT data of one of the Iranian Oilfield (MARUN) to optimize its separators pressure. For precise simulation and data analysis, the PR EOS parameters were tuned by the PVT software and the modified parameters were used in the program. The results show that recovery has been improved by pressure optimization. Also, the effect of temperature was investigated, which shows recovery increases by lowering temparature. As a result, tecovery improves to about 0.4%, which introduced a bunker of oil at 2000 bbl / day. It has 200000 dollars per day more income