Reservoir management is a comprehensive approach in the oil and gas industry aimed at maximizing the economic recovery of hydrocarbons from subsurface reservoirs while ensuring sustainable development. It involves the integration of geological, geophysical, and engineering data to create accurate reservoir models. Reservoir engineers and geoscientists collaborate to assess reservoir properties, including porosity, permeability, and fluid saturations, using techniques such as reservoir simulation and material balance calculations. Continuous monitoring of reservoir performance is crucial, and advanced technologies, such as permanent downhole sensors and surveillance programs, contribute to real-time data acquisition. Reservoir management strategies consider well placement, production rates, and the implementation of enhanced oil recovery (EOR) techniques to optimize reservoir recovery. Reservoir management extends beyond technical aspects, incorporating economic factors, environmental considerations, and regulatory compliance. Safety protocols and risk assessments are integral to managing uncertainties associated with reservoir behavior. The integration of data analytics and machine learning further enhances decision-making, allowing for adaptive reservoir management strategies. As the industry faces complex reservoir challenges, reservoir management remains a dynamic and evolving discipline, emphasizing the need for interdisciplinary collaboration and ongoing innovation to ensure efficient and responsible hydrocarbon extraction.