Latest revision as of 09:44, 15 February 2021

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.

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• http://dx.doi.org/10.20944/preprints201905.0041.v1 under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.3390/s19112548 under the license http://creativecommons.org/licenses/by/4.0

• http://europepmc.org/articles/PMC6603558 under the license https://creativecommons.org/licenses/by/4.0

• https://www.mdpi.com/1424-8220/19/11/2548/pdf

• https://www.preprints.org/manuscript/201905.0041/v1/download under the license cc-by

• https://www.mdpi.com/1424-8220/19/11/2548,

https://doaj.org/toc/1424-8220 under the license cc-by

• https://www.mdpi.com/1424-8220/19/11/2548/pdf,

http://dx.doi.org/10.3390/s19112548

• https://www.preprints.org/manuscript/201905.0041/v1/download,

https://www.mdpi.com/1424-8220/19/11/2548/htm,

https://www.mdpi.com/1424-8220/19/11/2548/pdf,

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https://www.ncbi.nlm.nih.gov/pubmed/31167413,

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https://repository.cardiffmet.ac.uk/handle/10369/11101,

https://www.preprints.org/manuscript/201905.0041/v1,

https://doi.org/10.3390/s19112548,

https://academic.microsoft.com/#/detail/2944758627 under the license https://creativecommons.org/licenses/by/4.0/

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under the license https://creativecommons.org/licenses/by/4.0/

DOIS: 10.3390/s19112548 10.20944/preprints201905.0041.v1