摘要
应用多数据源融合技术实现了油田各专业数据的分析与关联,为油田管理中数据查询和数据分析做好了准备。采用基于数据挖掘的辅助决策技术实现了对重点数据的智能分析,解决了以往分析数据靠人工经验的问题;利用基于Android平台的移动终端推送技术实现了数据的专业化定制,能够随时随地掌握数据的变化情况。通过应用这几种技术整合了油田业务管理的数据信息,实现了各个部门的业务集成,提高了工作效率。
Having the multi-data source fusion technology adopted to analyze and correlate oilfield professional data was implemented to provide the preparation for data query and data analysis in the oilfield management.Through employing data mining-based decision-making technology,the intelligent analysis of the key data was realized to benefit the data analysis free from artificial experience; and the specialization of data customization realized by Android platform-based mobile terminal push technology can master data changes at any time. Above-said technologies-supported oilfield management system can integrate the oilfield data and each department's business there along with an improved efficiency of operations.
出处
《化工自动化及仪表》
CAS
2016年第8期849-854,858,共7页
Control and Instruments in Chemical Industry
基金
国家自然科学基金项目(61374127)
黑龙江省博士后科研启动资金项目(LBH-Q12143)
关键词
数据融合
数据挖掘
辅助决策
终端推送
油田业务管理
data fusion
data mining
decision-making
terminal push
oilfield business management
