Permeability Estimation by Artificial Intelligence Methods from Wireline Logs; A Case Study From One of the Iranian Oil Reservoirs

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

کلیدواژه ها:

Permeability ، Fuzzy logic ، Neuro-fuzzy method ، Carbonate gas reservoir