油气长输管道大数据研究及应用  

Research and Application of Big Data Technology in Oil and Gas Pipelines

作　　者：郭磊[1] 周利剑[1] 贾韶辉[1] 

机构地区：[1]中国石油天然气股份有限公司管道分公司

出　　处：《石油规划设计》2018年第1期34-37,41,共5页Petroleum Planning & Engineering

摘　　要：随着管道业务及信息化技术的快速发展,可获取的管道数据种类不断增加,数据格式变得更加复杂,且各类数据每年快速增长。大数据技术具有快速处理海量异构数据的技术特点,在油气管道行业具有广泛的应用前景,可满足油气管道行业快速增长的数据处理需求。本文提出了油气管道大数据技术应用架构,并选择油气管道第三方交叉施工作为建模分析对象,采用时序分析、空间分析及回归预测三种方法对第三方施工数据进行建模分析,找出第三方施工活动时空规律及相关性规律,辅助管道运营企业评估第三方施工活动的可能性,减少第三方破坏风险。With the rapid development of pipeline business and information technology,the number of available pipeline data is increasing,the data format becomes more complicated,and the data of all kinds is growing rapidly every year.Big data technology has the characteristics of rapid processing large amounts of heterogeneous data technology,has extensive application prospect in oil and gas pipeline industry,which can meet the rapid growth of oil and gas pipeline industry data processing requirements.This paper proposes the big data technology application architecture for oil and gas pipelines,and selects the oil and gas pipeline third-party cross construction modeling as the analysis object,using time series analysis,spatial analysis and regression forecast three methods of third party construction data modeling analysis.Finally,it finds out the space-time rule and correlation of the third party construction activities,auxiliary pipeline operation enterprises to assess the possibility of a third party construction activities,and reduces the risk of third party damage.

关 键 词：油气管道 大数据技术 第三方施工 平台 建模 分析 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]