Optimization model based on genetic algorithms for oil wells

Authors:
Edgar Camargo;José Aguilar;Addison Ríos;Francklin Rivas;Joseph Aguilar-Martin
Affiliations:
Doctorado en Ciencias Aplicadas, Facultad de Ingeniería, Universidad de los Andes, Mérida, Venezuela;CEMISID, Facultad de Ingeniería, Universidad de los Andes, Mérida, Venezuela;CEMISID, Facultad de Ingeniería, Universidad de los Andes, Mérida, Venezuela;Laboratorio de Sistemas Inteligentes, Universidad de los Andes, Mérida, Venezuela;Grup SAC, Universitat Politècnica de Catalunya, España
Venue:
CIMMACS '10 Proceedings of the 9th WSEAS international conference on computational intelligence, man-machine systems and cybernetics
Year:
2010

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Abstract

The Processes of optimization of oil wells involve an objective function that maximizes the commercial price and minimizes the production cost. For the solution of this type of problem, in the last decade the evolutionary technologies have demonstrated to be an effective and efficient tool. In this work is presented an Evolutionary System to improve the performance of the Industrial Production in petroleum wells that require gas lift (LAG). The system must optimize an objective composed by two criteria: to maximize the production of oil and to minimize the flow of gas injection, based on the restrictions of the process and the operational cost of production.