抄録
Intelligent water injection control systems are critical for efficient management in modern oilfield development. Leveraging big data and artificial intelligence (AI), these systems enable real-time monitoring, dynamic optimization, and adaptive control of the water injection process. This paper provides a comprehensive review of the key technologies and advancements in intelligent water injection control systems, including decision support methods based on big data analysis, the application of AI algorithms in injection optimization, and integrating sensor networks with Internet of Things technologies. Through the study of typical application cases, the significant benefits of these systems in enhancing oil recovery, reducing operational costs, and extending reservoir development life are highlighted. The challenges in current technological development, such as data quality, model robustness, and field adaptability, are discussed. The paper also explores the future potential of intelligent oilfields toward higher levels of automation and intelligence. This paper offers valuable insights for both theoretical research and practical applications, aiming to drive technological innovation and industrial upgrades in oilfield development.
