Comparative and Statistical Analysis of Core-Calibrated Porosity with Log-Derived Porosity for Reservoir Parameters Estimation of the Zamzama GAS Field, Southern Indus Basin, Pakistan

n accurate estimation of reservoir parameters such as porosity from conventional petrophysics has always been a challenging task for petrophysicists. These inaccuracies can be minimized by incorporating the standardized results obtained from the well-core information for continuous and precise estimates. The goal of the current study is to determine the most appropriate porosity estimation using reliable statistical approaches for the computation of precise reservoir parameters. In this study, characterization of porosity is carried out using root mean squared error and coefficient of variation. Total porosity ( ϕ_NDS ) has minimum root mean squared error and coefficient of variation as compared to other porosity estimates. The minimum root mean squared error and coefficient of variation lead to a good prediction model with smaller residuals. In Zamzama-02 Well, the total porosity ( ϕ_NDS ) for Pab Formation was derived from the average values of neutron, density and sonic logs data with lower values RMSE (2.81