Abstract

The development of smart reservoirs, driven by the integration of Internet of Things (IoT) and Artificial Intelligence (AI), is transforming reservoir engineering. IoT sensors collect real-time data on reservoir conditions, such as pressure, temperature, and fluid composition, while AI algorithms analyze these data to optimize reservoir management. Machine learning models predict reservoir behavior, enabling more accurate forecasting of production rates and enhanced decision-making for reservoir development and maintenance. The combination of IoT and AI facilitates advanced monitoring, predictive maintenance, and the automation of reservoir processes, leading to improved efficiency, reduced operational costs, and better resource management. This paper explores the technologies behind smart reservoirs, their applications in reservoir engineering, and the future potential of these innovations in driving sustainable and optimized energy production.