Title :
Obtaining an optimal gas injection rate for an oil production system via neural networks
Author :
de la Cruz, G.J. ; Ruz-Hernandez, J.A. ; Salazar-Mendoza, R.
Author_Institution :
Univ. Autonoma del Carmen, Campeche
Abstract :
Using a model-based optimization, a neural network model is developed to calculate the optimal values of gas injection rate and oil rate of a gas lift production system. Two cases are analyzed: a) A single well production system and b) A production system composed by two gas lifted wells. For both cases minimizing the objective function the proposed strategy shows the ability of the neural networks to approximate the behavior of an oil production system and to solve optimization problems when a mathematical model is not available.
Keywords :
minimisation; neural nets; oil drilling; well logging; gas lift production system; model-based optimization; neural network model; objective function minimization; oil production system; optimal gas injection rate; single well production system; Hydrocarbon reservoirs; Mathematical model; Neural networks; Optimized production technology; Petroleum; Production systems;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634275
