A simple approach for screening enhanced oil recovery methods: Application of artificial intelligence

ABSTRACT The main goal of the present article is to propose a machine learning model which was constructed by merging the real worldwide enhanced oil recovery (EOR) field experiences. In this regard, the aforementioned expert system is based on fuzzy C clustering approach in order to rank the appropriate EOR methods for further evaluation from environmental and economic viewpoints. The results show that fuzzy C clustering approach can be successful in the determination of appropriate EOR method by providing adequate data face to the approach evolved. Consequently, this expert system can be hybridized with commercial reservoir simulators for EOR screening purposes especially in Iranian oil and gas sector.

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