ESTIMATION OF OPTIMUM CRUDE OIL PRODUCTION FROM SOUTH AZADEGAN OIL FIELD WITH EMPHASIZING ON MAXIMUM EFFICIENT RATE OF PRODUCTION BASED ON METAHEURISTIC ALGORITHM OF PARTICLE SWARM OPTIMIZATION (PSO)

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SHOKRI POURIYA; FARIDZAD ALI; TAKLIF ATEFEH; DEHGHANI TOURAJ

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Journal: IRANIAN ENERGY ECONOMICS Year:2017 | Volume:6 | Issue:22 Page(s): 75-105

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Title

ESTIMATION OF OPTIMUM CRUDE OIL PRODUCTION FROM SOUTH AZADEGAN OIL FIELD WITH EMPHASIZING ON MAXIMUM EFFICIENT RATE OF PRODUCTION BASED ON METAHEURISTIC ALGORITHM OF PARTICLE SWARM OPTIMIZATION (PSO)

Author(s)

SHOKRI POURIYA | FARIDZAD ALI | TAKLIF ATEFEH | DEHGHANI TOURAJ | Issue Writer Certificate

Keywords

OIL PRODUCTIONQ3

DYNAMIC OPTIMIZATIONQ2

ENHANCED OIL RECOVERYQ1

MAXIMUM EFFICIENT RATE OF PRODUCTIONQ1

ALGORITHM OF PARTICLE SWARM OPTIMIZATION (PSO)Q1

SOUTH AZADEGAN OIL FIELQ1

Abstract

The act of planning in order to reach optimum production from crude oil reserves with emphasizing on technical limitations and economic modeling and forecasting, is known as a necessity to earn the maximum profit from oil export incomes and providing national intertemporal interests for oil producing and exporting countries. This study estimates the optimal trend of crude OIL PRODUCTION from south Azadegan Iranian oil field by the metaheuristic algorithm of Particle Swarm Optimization (PSO) on a thirty-year period. The concept of maximum efficient rate (MER) is employed to reach the best simulation of technical and physical field properties and moreover, the three price scenarios and two discount rate scenarios are used to apply the economic dynamics of crude oil world market. The results show that applying EOR programs simultaneously during the production by gas injection into the anticline of SARVAK reservoir, proven reserve of the field can be increased up to 6 billion barrels in this period. It also increases the cumulative production up to 3 billion barrels during the simulation period which was about 1.4 billion barrels based on the present RMDP

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APA: Copy

SHOKRI, POURIYA, FARIDZAD, ALI, TAKLIF, ATEFEH, & DEHGHANI, TOURAJ. (2017). ESTIMATION OF OPTIMUM CRUDE OIL PRODUCTION FROM SOUTH AZADEGAN OIL FIELD WITH EMPHASIZING ON MAXIMUM EFFICIENT RATE OF PRODUCTION BASED ON METAHEURISTIC ALGORITHM OF PARTICLE SWARM OPTIMIZATION (PSO). IRANIAN ENERGY ECONOMICS, 6(22 ), 75-105. SID. https://sid.ir/paper/244837/en

Vancouver: Copy

SHOKRI POURIYA, FARIDZAD ALI, TAKLIF ATEFEH, DEHGHANI TOURAJ. ESTIMATION OF OPTIMUM CRUDE OIL PRODUCTION FROM SOUTH AZADEGAN OIL FIELD WITH EMPHASIZING ON MAXIMUM EFFICIENT RATE OF PRODUCTION BASED ON METAHEURISTIC ALGORITHM OF PARTICLE SWARM OPTIMIZATION (PSO). IRANIAN ENERGY ECONOMICS[Internet]. 2017;6(22 ):75-105. Available from: https://sid.ir/paper/244837/en

IEEE: Copy

POURIYA SHOKRI, ALI FARIDZAD, ATEFEH TAKLIF, and TOURAJ DEHGHANI, “ESTIMATION OF OPTIMUM CRUDE OIL PRODUCTION FROM SOUTH AZADEGAN OIL FIELD WITH EMPHASIZING ON MAXIMUM EFFICIENT RATE OF PRODUCTION BASED ON METAHEURISTIC ALGORITHM OF PARTICLE SWARM OPTIMIZATION (PSO),” IRANIAN ENERGY ECONOMICS, vol. 6, no. 22 , pp. 75–105, 2017, [Online]. Available: https://sid.ir/paper/244837/en

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