期刊
PETROLEUM SCIENCE AND TECHNOLOGY
卷 31, 期 16, 页码 1647-1654出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/10916466.2010.551235
关键词
artificial intelligence; enhanced oil recovery; modeling
In this article, five type of enhanced oil recovery (EOR) methods and seven of the most important reservoir parameter get noticed. Also, data from more than 200 oil fields from all around the world collected where at least one of the EOR methods has been applied. It has been tried via Adaptive Network-based Fuzzy Interface System (ANFIS) along clustering and normalizing techniques to design a model proficient to foresight and compare behavior of the five EOR methods in case of cumulative oil production based on seven input parameters. Designed model applied to one of the Iranian oil fields and results have been discussed.
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