石油勘探与开发2011，Vol.38Issue(3)：345-351,7.
基于领域驱动数据挖掘技术定量描述油层水淹级别
Identifying water flooded layers based on the domain-driven data mining technique
摘要
Abstract
To identify water flooded layers and determine the flooded degree of reservoirs, the data mining technique is introduced and an efficient predictive model, combining with the relative knowledge of evaluating water flooded layers, is established to identify water flooded layers from the view of domain-driven. With the sedimentary facies characteristics of the study area, this paper uses the cluster analysis, association rule and decision tree to mine the logging data of the flooded layers and reservoir derived parameters by sedimentary microfacies and parameter combinations. As a result, the predictive models of the entire region and small layers are obtained. And the sensitivity of the parameters in identifying the water flooded layers is given, proving that different sedimentary microfacies have different parameters sensitive to flooded conditions. After the predictive models of the small layers are progranmmed, they are used to evaluate the 180 old wells and l0 new wells; the accuracy is 91.03 percent, which proved the reliability of this method.关键词
领域驱动/数据挖掘/水淹层/测井评价/参数组合/预测模型Key words
domain-driven/ data mining/ water flooded layer/ logging evaluation/ parameter combination/ predictive model分类
能源科技引用本文复制引用
李雄炎,李洪奇,周金煜,谭锋奇,贺旭,陈亦寒..基于领域驱动数据挖掘技术定量描述油层水淹级别[J].石油勘探与开发,2011,38(3):345-351,7.基金项目
国家"863"项目"多尺度三维地质体数字表征关键技术及应用研究"(2009AA062802) （2009AA062802）
