Department of Economics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
10.22054/jiee.2026.83302.2123
Abstract
The current research has been compiled and presented by emphasizing the role of production optimization problem as a practical necessity in oil and gas economic studies and discussions that can transform the measured into optimal management decisions. In this study, the optimal path of crude oil production in Ahvaz oil field resulting from the natural gas injection of South Pars phase 13 has been achieved using an optimal meta-heuristic method called particle swarm algorithm in a period of twenty years. Also, in order to simulate the maximum technical and physical conditions of both fields, the concept of the maximum effective discharge rate, and in order to apply the economic dynamics of the global oil and gas market, three price scenarios and two discount rate scenarios have been used. The results of the study show that in case of implementation of programs to increase oil recovery, improve oil recovery, and inject gas at the same time as production from the oil field, During the modeling and simulation period, more than 7.5 billion barrels of additional oil in the extractable volume and 3.5 billion cubic feet of injected gas were re-extracted, and the cumulative production of the oil field was 12.8 billion barrels based on the planned production. Currently, in the revised field development plan, it reaches more than 15.3 billion barrels based on the optimal production path of this study.
khani,M , esmailnia gatabi,A , Emamverdi,G and momeni vesaliyan,H . (2026). Estimation of the optimal, integrated and sustainable production path of the Ahvaz oil field with an emphasis on natural gas injection in phase 13 of South Pars based on the Particle Swarm Optimization (PSO) algorithm.. (e21028). Iranian Energy Economics, (), e21028 doi: 10.22054/jiee.2026.83302.2123
MLA
khani,M , , esmailnia gatabi,A , , Emamverdi,G , and momeni vesaliyan,H . "Estimation of the optimal, integrated and sustainable production path of the Ahvaz oil field with an emphasis on natural gas injection in phase 13 of South Pars based on the Particle Swarm Optimization (PSO) algorithm." .e21028 , Iranian Energy Economics, , , 2026, e21028. doi: 10.22054/jiee.2026.83302.2123
HARVARD
khani M, esmailnia gatabi A, Emamverdi G, momeni vesaliyan H. (2026). 'Estimation of the optimal, integrated and sustainable production path of the Ahvaz oil field with an emphasis on natural gas injection in phase 13 of South Pars based on the Particle Swarm Optimization (PSO) algorithm.', Iranian Energy Economics, (), e21028. doi: 10.22054/jiee.2026.83302.2123
CHICAGO
M khani, A esmailnia gatabi, G Emamverdi and H momeni vesaliyan, "Estimation of the optimal, integrated and sustainable production path of the Ahvaz oil field with an emphasis on natural gas injection in phase 13 of South Pars based on the Particle Swarm Optimization (PSO) algorithm.," Iranian Energy Economics, (2026): e21028, doi: 10.22054/jiee.2026.83302.2123
VANCOUVER
khani M, esmailnia gatabi A, Emamverdi G, momeni vesaliyan H. Estimation of the optimal, integrated and sustainable production path of the Ahvaz oil field with an emphasis on natural gas injection in phase 13 of South Pars based on the Particle Swarm Optimization (PSO) algorithm.. Iranian Energy Economics. 2026;():e21028 (In Persian). doi: 10.22054/jiee.2026.83302.2123
