Optimization system for valve control in intelligent wells under uncertainties

This paper presents an evolutionary algorithm-based decision support system able to optimize intelligent well control, in intelligent oil fields, under technical and geological uncertainties. In addition, the system aims to support decision-making on whether or not to deploy intelligent well technol...

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Bibliographic Details
Published in:Journal of petroleum science & engineering 2010-08, Vol.73 (1), p.129-140
Main Authors: Almeida, Luciana Faletti, Vellasco, Marley M.B.R., Pacheco, Marco A.C.
Format: Article
Language:English
Subjects:
Applied sciences
Control systems
Control valves
Crude oil, natural gas and petroleum products
Energy
evolutionary computation
Exact sciences and technology
Fuels
genetic algorithms
intelligent oil field
Oil fields
Optimization
reservoir engineering
Strategy
uncertainties
Uncertainty
Valves
Wells
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Summary:This paper presents an evolutionary algorithm-based decision support system able to optimize intelligent well control, in intelligent oil fields, under technical and geological uncertainties. In addition, the system aims to support decision-making on whether or not to deploy intelligent well technology, which is very costly and often difficult to obtain approval for its implementation. Intelligent well control refers to open and close operations of a valve in wells of this type. A genetic algorithm is used for obtaining a pro-active control strategy and determining an operation that maximizes the net present value (NPV). The system was evaluated in three oil reservoirs and results indicate that it is able to obtain good strategies with an increase in NPV.
ISSN:0920-4105
1873-4715
DOI:10.1016/j.petrol.2010.05.013