管道完整性数据技术发展现状与展望

发布时间：2018-08-28 19:01

【摘要】：完整性管理是基于数据科学决策的方法论,数据管理作为基础直接制约了完整性管理中各项工作的开展。基于中国石油管道完整性管理的现状,明确提出了9个专题61类数据的范围,通过支持精细化管理实现安全与经济的最佳平衡。数据管理的目标从风险专家评估转变为数据分析人员分析风险,再发展成为基于大数据分析的完整性管理,从宏观到微观各层面为管道管理带来深刻变革。对数据管理的现状和挑战进行分析,指出当前应进一步完善对于管道线性资产数据管理的数据模型技术、多维度时空数据的管理、数据对齐、数据利用4种关键技术,并结合国家和公众对管道安全与环保的要求、石油行业经营成本与利润压力持续提高的现状,对未来管道完整性管理中数据与业务的深入融合趋势进行预测,为下一阶段数据管理技术发展指明方向。
[Abstract]:Integrity management is based on the methodology of data scientific decision-making. Data management directly restricts the development of the work of integrity management. Based on the present situation of China's petroleum pipeline integrity management, this paper puts forward the range of 61 kinds of data on 9 topics, and realizes the best balance between safety and economy by supporting fine management. The goal of data management is changed from expert risk assessment to risk analysis by data analysts, and then developed into integrity management based on big data analysis, which brings profound changes to pipeline management from macro to micro levels. This paper analyzes the current situation and challenges of data management, and points out that four key technologies, such as data model technology for pipeline linear asset data management, management of multi-dimensional space-time data, data alignment and data utilization, should be further improved. Combined with the requirements of the state and the public for pipeline safety and environmental protection, the current situation of continuous increase in operating costs and profit pressures in the oil industry, the trend of data and business integration in pipeline integrity management in the future is forecasted. Indicates the direction for the next stage of data management technology development.
【作者单位】：中国石油管道科技研究中心/中国石油天然气集团公司油气储运重点实验室;
【基金】：中国石油天然气股份公司科技攻关项目“石油天然气管道安全普查数据库技术研究”;科技股2014-1
【分类号】：TE832

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