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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6164018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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