在分析注水系统节能优化与注水站单站节能优化关系的基础上 ,提出了将注水系统优化控制简化为单站局部优化控制的构想。以注水机组优化为系统优化的基础 ,将神经网络引入优化控制系统 ,利用工业现场记录的历史数据进行了测试 ,取得了令人满意的效果。结果表明 ,基于神经网络的优化控制与传统控制相比 ,具有更高的适用性 ,应用前景良好 Based on the analysis of the relationship between energy saving optimization of waterflooding system and single-station energy-saving optimization of waterflooding station, the idea of ​​simplifying the optimal control of waterflooding system to single-site local optimal control is proposed. Based on the optimization of water injection unit as the foundation of system optimization, the neural network was introduced into the optimal control system, and the historical data recorded by the industrial field were used for testing. Satisfactory results were obtained. The results show that compared with the traditional control, the optimal control based on neural network has higher applicability and good application prospect