• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (18): 22-27.doi: 10.3901/JME.2019.18.022

• 仪器科学与技术 • 上一篇    

用于管道变形检测的新型泡沫智能清管器设计与试验验证

熊毅1, 高萍1, 奉虎2, 郑松贤2, 王军2, 兰学杰2, 李友行2, 柳斌2   

  1. 1. 中国石油大学(北京)安全与海洋工程学院 北京 102249;
    2. 海洋石油工程股份有限公司 天津 300451
  • 收稿日期:2018-07-16 修回日期:2019-01-25 发布日期:2020-01-07
  • 通讯作者: 熊毅(通信作者),男,1982年出生,博士,讲师,硕士研究生导师。主要研究方向为安全检测、动态风险分析。E-mail:xiongyi@cup.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51304228)。

Design and Experimental Verification of a Novel Foam Smart PIG for Pipe Deformation Detection

XIONG Yi1, GAO Ping1, FENG Hu2, ZHENG Songxian2, WANG Jun2, LAN Xuejie2, LI Youhang2, LIU Bin2   

  1. 1. College of Safety and Ocean Engineering, China University of Petroleum(Beijing), Beijing 102249;
    2. Offshore Oil Engineering Co., Ltd., Tianjin 300451
  • Received:2018-07-16 Revised:2019-01-25 Published:2020-01-07

摘要: 针对石油天然气管道完整性管理应用中,现有智能清管器通过性较差,聚氨酯泡沫清管器无法实现智能检测的问题,提出将力传感器搭载在泡沫清管器上,设计一种既能对管道进行变形检测又具备泡沫清管器良好通过性的新型泡沫智能清管器。通过力学性能理论分析和标定装置的试验验证发现:该泡沫清管器能感应管道变形数据,在变形量小于1/2传感器埋深时变形检测结果呈良好线性关系;采用内外层密度相同的清管器结构检测灵敏度不受传感器初始位置影响,可增加传感器埋深提升系统可靠性;采用内高外低的清管器结构可以通过减小传感器埋深和增大内层泡沫密度提升检测灵敏度,但应注意结构改变对检测系统可靠性的影响。该新型泡沫清管器可以实现变形的快速检测和定位,减少前期清管次数,节省成本;同时由于泡沫清管器的良好通过性,可以提升清管作业的安全性。

关键词: 管道变形, 柔性检测, 聚氨酯, 智能清管器, 通过性

Abstract: In the application of integrity management of oil and natural gas pipeline, there are some problems about the blocking risk of classical smart PIG and non-detectability of the polyurethane foam PIG. Therefore, the force sensors are mounted on the foam PIG to design a novel smart PIG with low blocking risk and capabilities for deformation detection. Through the theoretical analysis and experiment, it is found that the smart foam PIG can detect the pipe deformation and the result shows a good linear relationship when the deformation is less than 1/2 depth of sensors. Secondly, the detection sensitivity is unrelated to the initial position of sensors in the same density structure of inner and outer layer foam, so that the initial thickness of the inner foam can be reduced to enhance system reliability. And then, for the high inner and low outer density structure, the detection sensitivity can be improved by increasing the initial thickness and density of the inner foam, with attention to the effect on the reliability of the detection system. The novel smart foam PIG can detect and locate the deformation rapidly and safely by reducing the number of pre-pigging and blocking risk.

Key words: pipeline deformation, flexible detection, polyurethane, smart PIG, blocking risk

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