油田注水机组状态在线监测及预测系统的研制

阐述了油田注水机组状态在线监测及预测系统的工作原理与核心结构。介绍了该系统的软件设计。系统采用基于神经网络的专家系统进行趋势预测分析及人工智能预知维护系统进行判别决策的方法 ,实现了对注水机组状态的自动在线判断和故障预报。该系统在油田现场工业实践验证和应用表明 ,既避免了机组恶性事故的发生 ,又有利于改变传统的定期维护方式 ,延长了机组的平均工作周期。

Development of online monitoring and predicting system for waterflooding power package

The working principle and core structure of the online monitoring and predicting system for waterflooding power package are expounded. The design of the system software is introduced. By means of the trend prediction analyses with the neural network based expert system and the artificial intelligent prescient maintenance system, automatic online judging and fault forecasting to the conditions of the waterflooding power package can be attained. On site verification and application prove that the system is practicable and efficacious.