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管道监测与漏油检测技术的最新进展:原理与方法

Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches.

作者信息

Adegboye Mutiu Adesina, Fung Wai-Keung, Karnik Aditya

机构信息

Communications and Autonomous Systems Group, Robert Gordon University, Aberdeen AB10 7GJ, UK.

School of Engineering, Robert Gordon University, Aberdeen AB10 7GJ, UK.

出版信息

Sensors (Basel). 2019 Jun 4;19(11):2548. doi: 10.3390/s19112548.

Abstract

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles all over the world. The structures of the pipelines are designed to withstand several environmental loading conditions to ensure safe and reliable distribution from point of production to the shore or distribution depot. However, leaks in pipeline networks are one of the major causes of innumerable losses in pipeline operators and nature. Incidents of pipeline failure can result in serious ecological disasters, human casualties and financial loss. In order to avoid such menace and maintain safe and reliable pipeline infrastructure, substantial research efforts have been devoted to implementing pipeline leak detection and localisation using different approaches. This paper discusses pipeline leakage detection technologies and summarises the state-of-the-art achievements. Different leakage detection and localisation in pipeline systems are reviewed and their strengths and weaknesses are highlighted. Comparative performance analysis is performed to provide a guide in determining which leak detection method is appropriate for particular operating settings. In addition, research gaps and open issues for development of reliable pipeline leakage detection systems are discussed.

摘要

管道在全球数百万英里的范围内被广泛用于输送碳氢化合物流体。管道结构的设计旨在承受多种环境载荷条件,以确保从生产点到海岸或配送仓库的安全可靠输送。然而,管道网络泄漏是管道运营商和自然环境遭受无数损失的主要原因之一。管道故障事件可能导致严重的生态灾难、人员伤亡和经济损失。为了避免此类威胁并维护安全可靠的管道基础设施,人们投入了大量研究工作,采用不同方法来实现管道泄漏检测与定位。本文讨论了管道泄漏检测技术,并总结了最新的研究成果。对管道系统中不同的泄漏检测与定位方法进行了综述,并突出了它们的优缺点。进行了性能对比分析,以指导确定哪种泄漏检测方法适用于特定的运行环境。此外,还讨论了可靠管道泄漏检测系统开发方面的研究空白和未解决问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5755/6603558/bcebfc04234c/sensors-19-02548-g001.jpg

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