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Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing

In the presented work, the potential of fiber-optic distributed acoustic sensing (DAS) for detection of small gas pipeline leaks (<1%) is investigated. Helical wrapping of the sensing fiber directly around the pipeline is used to increase the system sensitivity for detection of weak leak-induced...

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Autores principales: Stajanca, Pavol, Chruscicki, Sebastian, Homann, Tobias, Seifert, Stefan, Schmidt, Dirk, Habib, Abdelkarim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164018/
https://www.ncbi.nlm.nih.gov/pubmed/30154358
http://dx.doi.org/10.3390/s18092841
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author Stajanca, Pavol
Chruscicki, Sebastian
Homann, Tobias
Seifert, Stefan
Schmidt, Dirk
Habib, Abdelkarim
author_facet Stajanca, Pavol
Chruscicki, Sebastian
Homann, Tobias
Seifert, Stefan
Schmidt, Dirk
Habib, Abdelkarim
author_sort Stajanca, Pavol
collection PubMed
description In the presented work, the potential of fiber-optic distributed acoustic sensing (DAS) for detection of small gas pipeline leaks (<1%) is investigated. Helical wrapping of the sensing fiber directly around the pipeline is used to increase the system sensitivity for detection of weak leak-induced vibrations. DAS measurements are supplemented with reference accelerometer data to facilitate analysis and interpretation of recorded vibration signals. The results reveal that a DAS system using direct fiber application approach is capable of detecting pipeline natural vibrations excited by the broadband noise generated by the leaking medium. In the performed experiment, pipeline vibration modes with acceleration magnitudes down to single μg were detected. Simple leak detection approach based on spectral integration of time-averaged DAS signals in frequency domain was proposed. Potential benefits and limitations of the presented monitoring approach were discussed with respect to its practical applicability. We demonstrated that the approached is potentially capable of detection and localization of gas pipeline leaks with leak rates down to 0.1% of the pipeline flow volume and might be of interest for monitoring of short- and medium-length gas pipelines.
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spelling pubmed-61640182018-10-10 Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing Stajanca, Pavol Chruscicki, Sebastian Homann, Tobias Seifert, Stefan Schmidt, Dirk Habib, Abdelkarim Sensors (Basel) Article In the presented work, the potential of fiber-optic distributed acoustic sensing (DAS) for detection of small gas pipeline leaks (<1%) is investigated. Helical wrapping of the sensing fiber directly around the pipeline is used to increase the system sensitivity for detection of weak leak-induced vibrations. DAS measurements are supplemented with reference accelerometer data to facilitate analysis and interpretation of recorded vibration signals. The results reveal that a DAS system using direct fiber application approach is capable of detecting pipeline natural vibrations excited by the broadband noise generated by the leaking medium. In the performed experiment, pipeline vibration modes with acceleration magnitudes down to single μg were detected. Simple leak detection approach based on spectral integration of time-averaged DAS signals in frequency domain was proposed. Potential benefits and limitations of the presented monitoring approach were discussed with respect to its practical applicability. We demonstrated that the approached is potentially capable of detection and localization of gas pipeline leaks with leak rates down to 0.1% of the pipeline flow volume and might be of interest for monitoring of short- and medium-length gas pipelines. MDPI 2018-08-28 /pmc/articles/PMC6164018/ /pubmed/30154358 http://dx.doi.org/10.3390/s18092841 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stajanca, Pavol
Chruscicki, Sebastian
Homann, Tobias
Seifert, Stefan
Schmidt, Dirk
Habib, Abdelkarim
Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing
title Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing
title_full Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing
title_fullStr Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing
title_full_unstemmed Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing
title_short Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing
title_sort detection of leak-induced pipeline vibrations using fiber—optic distributed acoustic sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164018/
https://www.ncbi.nlm.nih.gov/pubmed/30154358
http://dx.doi.org/10.3390/s18092841
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