چکیده مقاله
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 0 4% that introduced 2000 bbl/day more recovery of oil in the stock tank It has 200000 dollars per day more income
کلیدواژهها
نویسندگان
Mohammad Mohamadvand Bardeshir
Department of Petroleum and Natural Gas Engineering Sahand University of Technology Tabriz, Iran
Mansoor Nikravesh
Abadan Oil Refinery Company Abadan, Iran
مهدی رضوی فر
Department of Petroleum Engineering Shiraz University Shiraz, Iran
شیوه ارجاع
Mohamadvand Bardeshir, Mohammad and Nikravesh, Mansoor and Razavifar, Mehdi,1400,Optimization of Separator Pressure in One oF the Iranian South Oil Field by Genetic Algorithm,9th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات نهمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی9 مرداد 1400