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Determining Rock Mass Permeability in a Carbonate Reservoir, Southern Iran Using Hydraulic Flow Units and Intelligent Systems

This paper presents hydraulic flow units and flow zone indicator for predicting permeability of rock mass from coreand well log-data. The concept is applied to some uncored wells/intervals to predict their permeability. Flow zone indicator depends on geological characteristics of the material and various pore geometry of rock mass; hence it is a good parameter for determining hydraulic flow units (HFU). Flow zone indicator is a function of reservoir quality index and void ratio. We determined flow zone indicator from well log and core data and divided the reservoir into various hydraulic flow units using K-means. Then a correlation between well log data and hydraulic flow units was drawn using adaptive network fuzzy inference system. The relationship was generalized for uncored wells. Finally, having effective porosity and flow zone indicator, permeability was calculated in each hydraulic flow unit. Results of permeability prediction based on HFU were examined for a number of wells and were compared with the measured permeability value of cores. There was a good correlation between the predicted and measured permeability.