Optimization of Separator Pressure in One oF the Iranian South Oil Field by Genetic Algorithm

In the oil production industry one of the most important targets is to produce maximum oil volume. Because of the oil pressure drop in the production plants, a remarkable volume of oil reduced due to the dissolved gas extraction from the liquid. To reduce this volume reduction of oil, some separators with optimum pressures are needed. 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 optimize the pressures by GA (Genetic Algorithm). This program was validated by experimental data of separator test and then used PVT data of one of the Iranian Oilfield (MARUN) to optimize its separator pressures. For accurate simulation and data analysis, the PR EOS parameters were tuned by PVTi software, and the modified parameters were used in the program. The results show that the recovery has improved by pressure optimization. Also, the effect of temperature was investigated, which shows the recovery increases by lowering the temperature. As a result, the recovery improving to about ۰.۴% that introduced ۲۰۰۰ bbl/day more recovery of oil in the stock tank. It has ۲۰۰۰۰۰ dollars per day more income.

Keywords:

Separator , Genetic Algorithm , pressure optimization , Equation of state