摘要
人工神经网络预测地层出砂防砂方法的优化有多种 ,各种优化方法都必须考虑油气井产能情况 ,模型计算和分析都很复杂、需要的参数较多 ,而且很多参数现场很难获得 ,现场可操作性差 ,经过文献调研和现场的实际分析 ,应用人工神经网络技术实现对油气井防砂方法优选 ,在油田的实际生产过程中具有重要意义。应用人工神经网络技术 ,利用辽河油田稠油油藏单井开发资料建立样本进行网络学习 ,对所采用的防砂方法进行优化 ,从而得出优化结果。
The problem of sand production in oil and gas well is very popular.Sand production makes the life of oil and gas well reduced,and abrade the tools and equipment in downhole,block the hole with sand,reduce the productivity of the oil and gas well,and even more.Therefore,the research of sand control methods is important in oil and gas well.The methods of sand control technology were developed and selected based on the artificial neural network and field experience.This method have been used in Liaohe oilfield,the results of this technology have been proved precisely.
出处
《钻采工艺》
CAS
2003年第6期53-55,共3页
Drilling & Production Technology
关键词
油气井
防砂方法
人工神经网络
辽河油田
artificial neural networks,sand control,optimum selection,Liaohe oilfield,application
