期刊
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
卷 73, 期 1-2, 页码 129-140出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.petrol.2010.05.013
关键词
optimization; genetic algorithms; evolutionary computation; reservoir engineering; intelligent oil field; uncertainties
资金
- PETROBRAS
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. (C) 2010 Elsevier B.V. All rights reserved.
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