Permeability Estimation in Petroleum Reservoir by Meta-Heuristics: An Overview

Proper permeability distribution in reservoir models is very important in the determination of oil and gas reservoir quality. In fact, it is not possible to have accurate solutions in many petroleum engineering problems without having accurate values for this key parameter of hydrocarbon reservoir. Permeability estimation by individual techniques within the various porous media can vary with the state of in situ environment, fluid distribution, and the scale of the medium under investigation. Recently, attempts have been made to utilize artificial intelligent methods for the identification of the relationship which may exist between the well log data and core permeability. This study overviews the different artificial intelligent methods in permeability prediction with advantage of each method. Finally, some suggestions and comments to choose the best method are introduced.