Optimization of gas injection allocation to increase oil production using Gbest-guided artificial bee colony algorithm
Sayid Muhamad Ridho Fadilah, Adiwijaya Adiwijaya, Annisa Aditsania · Journal of Physics Conference Series · 2019
Oil comes from fossils thousands of years ago and it is natural resource that can't be renewed.If it used continuously, the oil supplies will eventually run out.One way to optimize an oil production is by using gas lift.When the supply of the gas injection is limited, the total available gas should optimally distributed among the oil wells of the field such that the total production of oil is maximized.In this paper, Gbest-guided artificial bee colony (GABC) will became the optimization techniques while Least square is used to make the mathematical model from the correlation between gas injection and oil production.Contribution of this research is to find the fittest mathematical model and implement GABC to find the maximum value of mathematical model.The selected model is 10 th order polynomial with R-square value of 1 and Sum of squares error (SSE) is 34.091.GABC will optimize the model and it will be compared to another optimization method such as Artificial bee colony (ABC).The results are GABC is better than ABC for each case with 4812.877barrel oil per day (Bopd), 5107.873Bopd, and 5142.156Bopd respectively, while the best C values in GABC is 2.