This study presents a comparative evaluation of two techniques for estimating original oil in place (OOIP) in petroleum reservoirs: traditional reservoir engineering methods and advanced data-driven approaches. The objective is to assess the strengths, limitations, and applicability of each technique in various reservoir settings. Factors such as data availability, computational requirements, and expertise level are considered to evaluate the practicality and reliability of the techniques. The study results reveal that the material balance method, specifically utilizing both Excel sheets and MBAL software, yields an estimated OOIP of 550 million stock tank barrels (MMSTB). In contrast, the MBAL software alone estimates an OOIP of 2568 MMSTB. The percentage of error between the material balance and Excel sheet approaches is 82%. These findings underscore the significance of considering reservoir characteristics and incorporating all relevant reservoir parameters for accurate OOIP estimation, highlighting the effectiveness of the material balance method.The practical implications of these insights are valuable for reservoir engineers and industry professionals when selecting the most appropriate approach for OOIP identification. Additionally, this research contributes to the ongoing efforts in the oil and gas industry to develop improved methods for accurate and efficient reserve estimation. The successful application and favorable results obtained from the material balance method further support its utilization in reservoir engineering practices. Keywords: reserve, material balance, OOIP, MBAL software, reservoir characteristics, reservoir parameters.