基于决策树算法的石油基础数据挖掘系统应用研究

Oil based data mining system based on decision tree algorithm applied research

针对石油基础数据量急剧增长,数据之间不能达成共享,管理不能保持统一等问题,研究并设计了石油基础数据挖掘系统分析系统。通过构建石油基础数据数据仓库模型,用于完成数据清理、数据变换和数据集成等数据预处理操作。应用决策树算法实现油基础数据的数据挖掘与分析,并借助数据挖掘插件直观地向用户展现了数据挖掘算法的分析结果,辅助业务管理人员对油气生产做出指导和决策,促进了中国石油勘探与生产分公司生产管理水平的提高。

For oil based data volume increase sharply, unable to reach a Shared between data, couldn＇t keep his unified management, research and design of the world＇s oil and gas resources query analysis system.By building oil based data warehouse model, oil based data warehouse multidimensional analysis method is given.Using decision tree algorithm to realize oil based data mining and analysis of the data, and with the help of data mining plug-in intuitively to show the user the analysis results of data mining algorithm and auxiliary business managers make guidance to the oil and gas production and decision-making, promote the production management level, the branch of China petroleum exploration and production.