Permeability Estimation by Artificial Intelligence Methods from Wireline Logs; A Case Study From One of the Iranian Oil Reservoirs
Publish place: 3rd Iranian Petroleum Engineering Congress
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IPEC03_154
تاریخ نمایه سازی: 7 تیر 1393
Abstract:
Reservoir characterization plays a crucial role in modern reservoir management.The reservoir characteristics include porosity, permeability, facies distribution, anddepositional environment. Permeability is an important parameter associated with the characterization of hydrocarbon reservoirs. Estimation of permeability fromwireline logs is important yet difficult task to encounter in geophysical formation evaluation. This study was carried out permeability estimation in a carbonate gasreservoir with the artificial intelligence methods. Fuzzy logic and neuro-fuzzy method that based on fuzzy logic presented good results. It’s shown in present work, when the number of data is low and the formation is complex (such as carbonate reservoirs), the methods based on fuzzy logic will have appropriate performance
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Authors
Haniyeh Jalayeri
Department of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology
Amin Malekpoor
Department of Mining, Metallurgy and Petroleum Engineering, Amirkabir University of Technology
Aboulghasem Kamkar Rouhani
Department of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology
Mansour Ziaii
Department of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology
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