Reserve Estimation Using Geostatistics

Abstract

Application of geostatistics are being increasingly considered by reservoir analysts and engineers in generating more accurate reservoir models together with usable measures of spatial uncertainty. Geostatistics provides a probabilistic framework and a toolbox for data analysis with early integration of information. In this research, hydrocarbon volume of afield is estimated considering different parameters as gross rock volume, net to gross rock thickness, porosity, permeability, and saturation. Therefore, it can be concluded that a statistical treatment that recognizes both the lack of knowledge and the uncertainty of the parameters involved in the forecast of reservoir performance is desirable.