期刊文献+

人工智能系统在压裂选井选层方面的应用 被引量:15

APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEM IN SELECTION OF WELL AND LAYER FOR FRACTURING
下载PDF
导出
摘要 以中原油田历年压裂井资料为基础 ,开发了一套压裂选井选层人工智能系统。该系统能够根据目标区块已有的压裂数据建立压裂效果的各类预测模型 ,运用这些模型实现对目标区块目的井 (层 )的压裂效果预测 ,从而达到智能化选井选层的目的。运用老井预测模型对 38个未知样品进行预测 ,预测与实际结果基本一致 ,说明该项技术具有较强的推广前景和应用价值。 On the basis of the data of fracturing wells in Zhongyuan Oilfield over the years,a set of artificial intelligence system suitable for selection of well and layer for fracturing is developed.On the basis of the fracturing data known,this system can set up all kinds of forecast model on fracturing effect.Using those models can prodict the fracturing effect for the well(layer)of aim region,and achieve the goal of intellectualization of well and layer choosing.We have predicted 38 unknown samples by using the forecast model of old wells,the forecast result,is consistent with the practical result,and show that this technology is worth popularizing and application.
出处 《钻采工艺》 CAS 2003年第1期37-38,共2页 Drilling & Production Technology
关键词 人工智能系统 压裂 选井选层 应用 油气井 神经网络 fracturing,selection of well and layer,artificial intelligence,nerve network,effect
  • 相关文献

参考文献1

  • 1程兆惠 罗英俊.中深井油层水力压裂[M].北京:石油工业出版社,1991..

共引文献2

同被引文献124

引证文献15

二级引证文献54

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