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

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Author
Adegboye, Mutiu Adesina
Fung, Wai Keung
Karnik, Aditya
Date
2019-06-04
Acceptance date
2019-05-27
Type
Article
Publisher
MDPI
ISSN
1424-8220
Metadata
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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.
Journal/conference proceeding
Sensors;
Citation
Adegboye, M.A.; Fung, W.-K.; Karnik, A. (2019) 'Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches', Sensors, 19, (11) 2548.
URI
http://hdl.handle.net/10369/11101
DOI
https://doi.org/10.3390/s19112548
Description
Article published in Sensors available open access at https://doi.org/10.3390/s19112548
Rights
https://creativecommons.org/licenses/by/4.0/
Sponsorship
Petroleum Technology Development Fund (PTDF), Abuja Nigeria, grant number PTDF/ED/PHD/AMM/1385/18.
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  • School of Technologies Research [151]

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