The present study aims to detect the lithology and pore-fluid from well log data using the rock physics templates. The results show that we can potentially discriminate between different types of lithological facies and fluid type to predict the accumulations of the potential hydrocarbons. The cross-plotting technique of the rock properties is carried out using well log data from the Scrb field in the Western Offshore Nile Delta area. The available well log data; comprising the gamma-ray, resistivity, density, neutron and sonic logs were used. The interpretation of the log data shows a high resistivity, low GR, and low values of acoustic impedance, the gas-bearing interval is identified. To identify the rock attributes from the supplied log data, the petrophysical parameters are initially assessed before the conducting rock physics cross-plotting. This is achieved using the cross-plot of the Vp against Vs, density and Vp, Lambda-Rho and Mu-Rho, P-impedance and Poisson's ratio, P-impedance and Vp/Vs ratio, and Poisson's ratio and bulk modulus. The effective porosity (PHIE), shale volume (Vsh), water saturation (Sw), and hydrocarbon saturation (Sh) are used to color-code each cross plot. Cross-plotting is executed and Lambda Rho (λρ) cross-plots demonstrated to be more reliable for lithology determination than Vp against Vs cross-plots. The effective porosity average values are within the range from 24% to 30%, shale content within the range from 20% to 27%, water saturation within the range from 16% to 23%, hydrocarbon saturation ranges from 77% to 83%.