摘要
油田注水采油过程中经常需要调整配注方案的综合注水管理,合理有效的配注方案可以使油田获得很多的经济效益。笔者研究应用BP神经网络模型预测配水方案,通过建立模型,数据模拟,误差比对,效果比较理想。此模型对提高采收率、避免资源浪费、提高决策者宏观掌控等方面有很大推广价值。
Water injection and oil production often need to adjust the water injection project management. The reasonable and effective injection allocation scheme can make the oilfield get a lot of economic benefit. The author studies the application of BP neural network prediction model of water allocation scheme. Through the establishment of model, data simulation, error comparison, the effect is ideal. This model has great promotion value in improving the recovery rate, avoiding the waste of resources, improving the macro control of policy makers and so on.
出处
《价值工程》
2016年第12期78-80,共3页
Value Engineering
关键词
神经网络
注水采油
配注方案
neural network
water injection and oil production
the water distribution plan
