大数据在油气长输管道应用的现状及发展方向  

Application Status and Development Direction of Big Data in Oil and Gas Long Distance Transportation Pipeline

作　　者：李涛[1] 孙延吉 王会军 田娜[1] Li Tao;Sun Yanji;Wang Huijun;Tian Na(Petro-Cyber Works Information Technology Co.Ltd.,Beijing,100007,China)

机构地区：[1]石化盈科信息技术有限责任公司,北京100007

出　　处：《石油化工自动化》2020年第6期10-14,18,共6页Automation in Petro-chemical Industry

摘　　要：针对油气长输管道行业“积累数据量多、挖掘信息量少”,数据标准不统一,业务数据无法协同共享等难题,企业及相关学者积极开展大数据技术与企业业务融合的研究,进行设计、施工、验收、运行等全生命周期管道大数据挖掘分析,提升了管道业务效率及风险管控水平。总结油气长输管道大数据平台框架搭建、油气长输管道建设期和运营期数据整合、大数据技术与管道业务融合应用等油气长输管道大数据应用研究现状,通过对比分析发现国内油气长输管道大数据应用的不足,结合当前国情与现状,提出了未来发展方向。Aiming at the problems of“large amount of accumulated data and little amount of mined information”,non-unified data standards,and non-collaborative sharing of business data in the oil and gas long distance transportation pipeline industry,enterprises and relevant scholars are actively engaged in the research on big data technology and enterprise business integration,to carry out the analysis on pipeline big data accumulated in the whole life cycle of design,construction,acceptance and operation.The pipeline business efficiency and risk control have been improved.The current research status of the application of big data in oil and gas long distance transportation pipelines on the construction of big data platform framework,data integration of construction period and operation period,and fusion of big data technology and pipeline business are summarized.The disadvantage is discovered through comparative analysis.The future development direction based on the current national condition and situation is put forward.

关 键 词：油气长输管道 大数据 平台框架 数据整合 数据标准 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]