Combine the capillary pressure curve data with the porosity to improve the prediction precision of permeability of sandstone reservoir

Abstract

Abstract Permeability is a critical parameter that reflects the nature of reservoir, playing a crucial role in the development of oil field. It is difficult to accurately calculate the permeability parameter in reservoir evaluation. Capillary pressure curve represents pore-throat size and distribution of reservoir rocks, and as for the porous sandstone, absolute permeability of rock depends primarily on the pore throat distribution. This paper has improved the estimation model for permeability established by Swanson, adding porosity factor, and has successfully established the absolute permeability estimation model for sandstone using Capillary-Parachor parameters. The permeability of 30 rock samples is estimated by using the above-described two kinds of model respectively. The result shows that the permeability estimated by the improved model is in good agreement with the value of permeability of core testing, and has made some improvement in the precision when compared to the permeability estimation model established by Swanson.