文章基本信息

标题：SELECTION OF ALTERNATIVES FOR OIL FIELD DEVELOPMENT BY GENETIC ALGORITHMS
本地全文：下载
作者：Yvan J. Túpac ; Marley Maria B.R. Vellasco ; Marco Aurélio C. Pacheco 等
期刊名称：Revista de Engenharia Térmica
印刷版ISSN：1676-1790
出版年度：2002
卷号：1
期号：2
语种：English
出版社：UFPR
摘要：This paper presents a Genetic Algorithm application for selecting the best alternative for oil field development under certainty. The alternatives in this study are related to the arrangement of wells in a known and delimited oil reservoir and serve as a basis for calculating the net present value, which is used to assess the optimization process: the optimal alternative is the one that maximizes the Net Present Value of the field. The results obtained have revealed that the Genetic Algorithm model was able to find good alternatives for the oil field development, achieving good results for the Net Present Value.
关键词：Oil Field Development;Genetic Algorithms;Reservoir Simulation