人工智能系统在压裂选井选层方面的应用  

APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEM IN SELECTION OF WELL AND LAYER FOR FRACTURING

作　　者：刘长印[1] 孔令飞[1] 张国英[1] 唐永槐[1] 刘志远[2] 

机构地区：[1]中原油田分公司井下特种作业处 [2]中原油田勘探开发研究院

出　　处：《钻采工艺》2003年第1期37-38,共2页Drilling & Production Technology

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.

关 键 词：人工智能系统 压裂 选井选层 应用 油气井 神经网络 

分 类 号：TE938[石油与天然气工程—石油机械设备]