模糊神经网络系统在优选压裂井层中的应用  

APPLICATION OF THE FUZZY NEURAL NETWORK SYSTEM IN THE SELECTION OF WELLS OR LAYERS FOR FRACTURING

作　　者：刘洪[1] 赵金洲[1] 胡永全[1] 张绍伦 刘江雁 

机构地区：[1]西南石油学院研究生院 [2]重庆气矿 [3]川东开发公司

出　　处：《钻采工艺》2002年第5期34-37,共4页Drilling & Production Technology

摘　　要：油井压裂选井选层是一项复杂有难度的技术。目前一般采用定性分析结合经验判断进行 ,随意性大。考虑到选井选层各项指标具有较大的模糊性 ,应用模糊神经网络系统 (FNNS)来获取各项指标与压裂效果的关系模型和预测模型 ,从而优选施工井层。实践证明 ,该方法技术适应性强、成功率高、效益显著。The selection of wells or layers for fracturing is an intricate task.The present method has uncertainty for it has generally been done by qualitative analysis with field experience.Considering the fuzzy nature of the factors for selection of fracturing candidates,the Fuzzy Neural Network System(FNNS)has been used to obtain the prediction model of fracturing results with the factors affecting selection of fracturing candidates in this paper.Then the optimum wells or layers for fracturing have been selected.It is shown from field application that this method has the advantages of good adaptability,high success ratio and notable economic benefit.

关 键 词：油气井 模糊神经网络系统 优选 压裂井层 应用 预测 选井 选层 

分 类 号：TE319[石油与天然气工程—油气田开发工程]