朱凤艳, 刘全利, 张鹏, 王超, 刘震军. 在役管道非开挖外检测技术评述[J]. 油气储运, 2015, 34(2): 215-219. DOI: 10.6047/j.issn.1000-8241.2015.02.024
引用本文: 朱凤艳, 刘全利, 张鹏, 王超, 刘震军. 在役管道非开挖外检测技术评述[J]. 油气储运, 2015, 34(2): 215-219. DOI: 10.6047/j.issn.1000-8241.2015.02.024
ZHU Fengyan, LIU Quanli, ZHANG Peng, WANG Chao, LIU Zhenjun. Review of the non-excavation external detection technology of in-service pipeline[J]. Oil & Gas Storage and Transportation, 2015, 34(2): 215-219. DOI: 10.6047/j.issn.1000-8241.2015.02.024
Citation: ZHU Fengyan, LIU Quanli, ZHANG Peng, WANG Chao, LIU Zhenjun. Review of the non-excavation external detection technology of in-service pipeline[J]. Oil & Gas Storage and Transportation, 2015, 34(2): 215-219. DOI: 10.6047/j.issn.1000-8241.2015.02.024

在役管道非开挖外检测技术评述

Review of the non-excavation external detection technology of in-service pipeline

  • 摘要: 在役管道非开挖外检测技术是在地面直接针对管道管体缺陷进行检测的技术。介绍了瞬变电磁(TEM)、磁力层析X射线摄影技术(MTM)、NoPig三种适用于在役管道的非开挖外检测技术,分析了其检测管道腐蚀的基本原理,说明了各类智能装置的组成和工作过程,介绍了工程应用的情况,并对其适用性和局限性进行了系统性分析。TEM、MTM和NoPig三种技术利用电磁原理针对金属管体进行地面检测,均具有不开挖管沟、不破坏管道外防腐层、不影响管道运行等显著优点,但从应用现状看,在抗现场复杂环境干扰、数据结果的可靠性等方面,尚需大量实践经验积累。

     

    Abstract: The non-excavation external detection technology can directly detect the defects of in-service pipeline on surface. This paper introduces three kinds of non-excavation external detection technologies suitable for the in-service pipelines, including TEM (transient electromagnetic), MTM (magnetic tomography method) and NoPig. Their basic principles of pipeline corrosion detection are analyzed and the composition and working process of each intelligent device is explained. Besides, this paper also introduces the engineering application of those technologies and systematically analyzes the applicability and limitations. TEM, MTM and NoPig use the electromagnetic principle to detect the metal pipeline on surface which all has the remarkable advantages like non-excavation, no destruction on the external anticorrosive coating and no influence on the operation of the pipelines. But the application status indicates that more practical experience is needed in the aspects like anti-interference of the complex field environment and reliability of the data results.

     

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