长输管道泄漏检测技术应用策略探讨  

Discussion on Application Strategies for Leakage Detection Technology in Long-distance Pipelines

作　　者：李勇 吕卫斌 王进军 张强钰 林海峰 LI Yong;LV Wei-bin;WANG Jin-jun;ZHANG Qiang-yu;LIN Hai-feng(PipeChina Shandong Branch,Dezhou 253000,China;PetroChina Tarim Oilfield Company,Korla 841000,China;The Ninth Exploit Factoryof PetroChina Changqing Oilfield Company,Yinchuan 750001,China;PipeChina Gansu Pipeline Company,Lanzhou 730060,China;Yinchuan Oil&Gas Transportation Branch Company,PipeChina NorthWest Pipeline Company,Yinchuan 750000,China)

机构地区：[1]国家石油天然气管网集团有限公司山东公司德州作业区,山东德州253000 [2]中国石油天然气股份有限公司塔里木油田分公司,新疆库尔勒841000 [3]中国石油长庆油田分公司第九采油厂,宁夏银川750001 [4]国家石油天然气管网集团有限公司甘肃分公司,甘肃兰州730060 [5]国家石油天然气管网集团有限公司西北公司银川输油气分公司,宁夏银川750000

出　　处：《全面腐蚀控制》2024年第10期125-128,共4页Total Corrosion Control

摘　　要：新版《安全生产法》《环境保护法》发布实施,管道行业对于泄漏检测技术精度要求更高。针对信号检测法、基于模型的检测法和模式识别检测法,阐述通过改进信号处理技术、应用模式识别方法、应用粒子群算法以及优化SVM算法解决管道微小泄漏检测难题的研究进展。结合管道智能化发展趋势,提出加强多种检测机理融合的泄漏检测技术的理念,对于提高管道泄漏检测精度具有指导意义。The new safety production law and the environmental protection law have been implemented,and the pipeline industry has higher requirements for the accuracy of leak detection technology.The paper elaborates on the research progress of improving signal processing technology,applying pattern recognition methods,applying particle swarm optimization algorithm,and optimizing SVM algorithm to solve the problem of detecting small pipeline leaks in signal detection,model-based detection,and pattern recognition detection.Based on the trend of intelligent pipeline development,the concept of strengthening the fusion of multiple detection mechanisms in leak detection technology is proposed,which has guiding significance for improving the accuracy of pipeline leak detection.

关 键 词：管道 泄漏检测 技术 信号 模型 模式识别 

分 类 号：TE973[石油与天然气工程—石油机械设备]