Permeability Predication by using Capillary Pressure data in Carbonate Reservoir from Southern Iraqi oil field

Permeability and capillary pressures are important petrophysical properties. Permeability is one of the most important parameters for reservoir management and development. Capillary pressure data have been widely used in evaluating reservoir rock, sealing capacity, transition zone thickness, pay versus non pay, and absolute and relative permeability. We are working in this study modification two empirical models: First, Empirical model using capillary pressure curve, this empirical model that is based on Swanson proposed a simple correlation between the permeability and mercury capillary pressure, after determined the point on the mercury injection curve that represents a continuous, interconnected pore system through the rock. This model is used to prediction of permeability for each sample in the laboratory from capillary pressure data. Second, the model is based on correlation between permeability with capillary pressure, porosity, and water saturation from well log, using well log data to derive estimates of permeability is the lowest cost method. This correlation is same work Brown and Husseini (1977), and fitted to data from a carbonate reservoir of one Iraqi field to find the best method for estimation of formation permeability from well logs included a term of capillary pressure (Pc) in addition to water saturation (Sw) and porosity (φ ). Good results are achieved through integration of Empirical models using capillary pressure curve in the laboratory and well log data in the field.