针对大数据时代油气管道的安全与防护问题,分析了管道的基本数据、检测数据、评价数据等和管道安全与防护相关的数据.通过对制管、铺管、外检测、内检测、风险评价、完整性评价过程的分析,证明了建立管道大数据的可行性,分析了管道大数据在克服完整性评价标准中的保守性、修正管道评价标准、预测管道未来安全状况等方面的应用.结果表明,管道大数据将成为油气管道安全与防护新的研究方向,将在油气管道安全高效运行中发挥重要作用.

Aiming at the problem of the security and protection of oil and gas pipelines in big data era, the basic data,detection data,assessment data,and other data ralated to the security and protection of pipeline were studied.By analyzing the process ofmanufacturing pipe,building pipe,external detection,internal detection, risk assessment and integrity assessment,the feasibility of establishing big data of pipeline is proofed,and its application for overcoming the conservative of assessment criteria,improving assessment criteria,predicting the future security of pipeline is analyzed.The results show that the big data of pipeline will be the new research direction of the security and protection of oil and gas pipelines,and it will play an important role in the safe and efficient operation of oil and gas pipelines.