Abstract: Waterflooding development oilfields have entered a new stage of deep and fine waterflooding exploitation due to complex relationships between injection and production, frequent dynamic changes in the displacement field, and aggravated inter-layer conflicts caused by long-term waterflooding. The waterflooding development program was adjusted based on static and dynamic engineering production data, which can help researchers master the dynamic changes in oil reservoirs and achieve effective tapping of residual oil. To realize the combination of waterflooding development program optimization and advanced separated zone waterflooding process, the paper systematically summarizes the development status of dynamic analysis technology for oil reservoirs, and mainly elaborates the core issues of waterflooding development program adjustment based on the intercombination of AI methods and reservoir engineering. Meanwhile, the cutting-edge intelligent theories and methods are used to explore and prospect the trend of intelligent and fine adjustments to future waterflooding development program, namely to make full use of the refined and intelligent separated zone waterflooding process to monitor a large amount of dynamic production data in real time. In the future, the study of waterflooding development program optimization will focus on the deep integration of "dynamic data, physical constraints, and AI algorithm"; it is also suggested to further promote the implementation of the intelligent optimization application, i.e., real-time acquisition of monitoring data of waterflooding development oilfields, real-time dynamic forecasts of oil reservoirs and real-time optimization of waterflooding program, and finally achieve the integration of reservoir and oil recovery engineering based on synchronously implementing the design and optimization of waterflooding program and the real-time adjustment of downhole separated zone waterflooding.