Abstract
Water injection development is a crucial method for enhancing oil recovery, and numerical simulation technology provides essential scientific tools and theoretical support for optimizing the injection process. This paper systematically reviews the fundamental principles of water injection numerical simulation, focusing on the dynamic impact of different injection strategies on reservoir pressure and saturation fields. The application value of high-resolution reservoir modeling in complex fluid migration simulation is elaborated. Furthermore, key optimization strategies, including injection rate, injection volume, and zonal injection, are explored, with a particular emphasis on methods and challenges for enhancing water flooding efficiency in heterogeneous reservoirs. Integrating the latest advances in artificial intelligence and machine learning, this paper highlights their potential in reservoir parameter prediction, model automation, and rapid dynamic forecasting, emphasizing the practical application of intelligent tools in complex reservoir water injection simulations. For geological structures such as fault zones and fractures, the applicability of relevant numerical simulation methods is assessed, providing insights into optimizing water injection strategies. Through in-depth analysis of simulation results, this paper summarizes practical experiences in optimizing water injection based on reservoir characteristics and envisions the future development of intelligent and efficient water injection strategies. The paper aims to provide theoretical guidance and technical support for water injection development in heterogeneous reservoirs, offering new pathways for reservoir management and enhanced oil recovery.
