期刊文献+

模糊神经网络系统在优选压裂井层中的应用 被引量:15

APPLICATION OF THE FUZZY NEURAL NETWORK SYSTEM IN THE SELECTION OF WELLS OR LAYERS FOR FRACTURING
在线阅读 下载PDF
导出
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.
出处 《钻采工艺》 CAS 2002年第5期34-37,共4页 Drilling & Production Technology
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 fuzzy system,neural network,fracturing,prediction,selection of wells and layers
  • 相关文献

参考文献3

二级参考文献2

共引文献30

同被引文献106

引证文献15

二级引证文献109

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部