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Optimization in the field of exploration and exploitation within the oil and gas industry is required to continually advance in order to meet national energy demands. One of the strategic steps to support increased production targets is the analysis of low resistivity zones, which may yield hydrocarbons but are often overlooked during reservoir interpretation. The methodology applied in this study includes analyzing well log data by calculating clay volume, porosity, water saturation, and determining water zones to support the integrated validation of low resistivity zones. This research aims to validate low resistivity zones by analyzing well log, analyzing and comparing the accuracy of water saturation calculations using various methods, and evaluating the effectiveness of Waxman-Smits normalization in water saturation determination. The Waxman-Smits method demonstrates effective accuracy for water saturation values due to its ability to correct for clay mineral content within shaly sand formations, resulting in more precise water saturation estimates in low resistivity zones. The results of this study are expected to improve the efficiency of identifying hydrocarbon zones that are difficult to detect using conventional methods.