摘要
红河油田上部地层疏松,下部地层存在裂缝,井漏事故发生频繁,给钻井施工带来了很大的风险性和经济损失。通过对红河油田地层特征和井漏原因进行综合分析,利用邻井风险信息,确定了井漏风险因素。以风险识别方法为理论依据,结合多信息融合技术,建立了基于邻井信息的井漏风险识别模型。通过对红河油田J1-2y层位进行了井漏风险识别分析,结果表明,提出的井漏风险识别方法具有一定的实用性,能够为红河油田安全快速钻井提供很好的技术支撑。
The upper formation is loose and the lower formation has existed cracks in Honghe Oilfield,the lost circulation accidents occurred frequently,it bring a lot of risk and economic loss to the drilling.Through comprehensively analyzed the formation characters and the causes of lost circulation in Honghe Oilfield,the risk factors of lost circulation were determined by using adjacent well data.Based on the risk identification methods and adjacent well data,a model of lost circulation risk identification was established.The field application results indicated that the risk identification methods proposed had some practicability in Honghe Oilfield,it could provide good technical support for the rapid and safe drilling of Honghe Oilfield.
出处
《钻采工艺》
CAS
北大核心
2013年第4期20-22,134,共3页
Drilling & Production Technology
基金
国家科技重大专项专题"大牛地气田钻完井技术及储层压裂技术"(编号:2008ZX050450307)
关键词
红河油田
井漏风险
风险因素
BP神经网络
实时识别
Honghe oilfield,lost circulation,risk factors,BP neural network,real-time identification
