Permeability determination of cores based on their apparent attributes in the Persian Gulf region using Navie Bayesian and Random forest algorithms

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• 作者：Pouria Behnoud far^a ; ^{P.Behnoud@aut.ac.ir} ; Pantea Hosseini^b ; Ali Azizi^a
• 关键词：Persian Gulf ; Permeability ; Archie's classification ; Navie Bayesian algorithm ; Random forest algorithm ; Apparent attributes
• 刊名：Journal of Natural Gas Science and Engineering
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：37
• 期：Complete
• 页码：52-68
• 全文大小：5693 K
• 卷排序：37

文摘

The proposed model considers different parameters affecting air permeability. The model is a tool to determine the permeability of a core sample using its apparent attributes. The model is used in gas and gas condensate reservoirs in Persian Gulf. Navie Bayesian and Random forest algorithms which are two new algorithms in petroleum engineering are used.