油气生产大数据挖掘系统的研究及应用

Research and Application of Big Data Mining System for Oil-gas Production

随着智能油田建设的不断推进,油气生产数据呈爆炸式增长。由于其数据结构复杂,形式多样,以及数据深度分析需求的增长,为挖掘工作带来了机遇与挑战。本文采用数据融合技术,搭建复杂油气生产过程的大数据挖掘平台,根据特定的挖掘目标,建立专题数据库,快速定制相应数据挖掘算法和石油工程业务模型,形成适应用户需求的数据挖掘应用系统,实现油气生产智能化诊断、预测、优化及辅助决策。

With the development of the intelligent oil field(IOF),the data volume increases dramatically.These data have complex structures and diverse forms.Urgent requirement of data analysis in this field has introduced more opportunities and challenges of the data mining task.In this paper,we discuss a data mining platform for petroleum and gas big data through data fusion.According to user specified objectives,thematic databases are constructed,data mining algorithms are designed,and petroleum engineering models are built.In this way,a data mining application is implemented for the intelligent diagnosis,prediction,optimization and computer aided decision for the oil and gas field.