数据挖掘技术在石油勘探与开发中的研究及应用  

RESEARCH AND APPLICATION OF DATA MINING TECHNIQUES IN OIL EXPLORATION AND DEVELOPMENT

作　　者：汪忠德[1] 王新海[1] 瞿建华[1] 方海飞[1] 刘洪[1] 

机构地区：[1]长江大学,湖北荆州434023

出　　处：《石油工业计算机应用》2007年第1期17-20,共4页Computer Applications Of Petroleum

摘　　要：数据挖掘为未来三到五年内将对工业产生深远影响的五大关键技术之一,本文对石油勘探开发数据挖掘技术的关键技术—可视化聚类挖掘工具进行了论述,阐述了分类算法的常见工具,并且就数据挖掘技术在石油勘探开发管理中的应用作出了初步分析,结合新疆塔里木地区一组测井数据实例说明利用数据挖掘技术进行的建模和地层识别的流程,最后对石油勘探开发数据挖掘技术的特点和急待解决的问题进行了总结。Data mining are one of the five key techniques which will produce profound and lasting effect on industry within 3 to 5 years.The key technique of data mining,visualization clustering mining tool,in oil exploration and development and the common tool of sorting algorithm are formulated in the paper.It gives a preliminary analysis of data mining technique in the application of oil exploration and development.It also explains the flow of modeling and formation identification with a group of logging data by using the technique according to an example in Tarim of Xinjiang.Finally it summarizes the characteristics and challenges of data mining technique.

关 键 词：石油勘探开发 数据挖掘 分类聚类 关联规则 决策分析 测井数据 

分 类 号：P618.13[天文地球—矿床学]