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 a field 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.
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