Optimization of an Oil Production System using Neural Networks and Genetic Algorithms

被引：0
|
作者：
Jimenez de la C, Guillermo [1 ]
Ruz-Hernandez, Jose A. [1 ]
Shelomov, Evgen [1 ]
Salazar M, Ruben [1 ]
机构：
[1] Univ Autonoma Carmen, Cd Del Carmen 24180, Campeche, Mexico
来源：
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年
关键词：
Genetic algorithms; injection gaslift; neural network; optimization; oil production system; perceptron multilayer;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil production system. Two cases are analyzed: a) A single well production system and b) A production system composed by two gaslifted wells. For both cases an objective function is maximized to reduce production cost. The proposed strategy shows the ability of the neural networks to approximate the behavior of an oil production system and the genetic algorithms to solve optimization problems when a mathematical model is not available.
引用
收藏
页码：1815 / 1820
页数：6
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