摘要
将神经网络应用于油田注水开采系统的动态指标预测。应用某油田１９８１～１９９３年１３年开发系统典型因素历史数据，对建立起的ＢＰ网络模型进行训练。训练后的网络既能准确地拟合历史数据，又能较精确地预测油田动态指标。
This paper applies the neural networks to the forecasting of the dynamic indexes of the injection oifield recovery system.The model BP network is trained by using thirteen years data of an oilfield.The trained network can both accurately harmonize the past data and precisely predict the dynamic indexes of the oilfield.
出处
《交通与计算机》
1997年第2期57-60,78,共5页
Computer and Communications
关键词
神经网络
注水采油系统
BP网络
油田
动态指标
neural net
,injiction oilfield recovery system
BP network
training sample
