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Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing

We demonstrate a non-intrusive dynamic monitoring method of oil well flow based on distributed optical fiber acoustic sensing (DAS) technology and the turbulent vibration. The quantitative measurement of the flow rate is theoretically acquired though the amplitude of the demodulated phase changes fr...

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Autores principales: Shang, Ying, Wang, Chen, Zhang, Yongkang, Zhao, Wenan, Ni, Jiasheng, Peng, Gangding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185261/
https://www.ncbi.nlm.nih.gov/pubmed/35684664
http://dx.doi.org/10.3390/s22114044
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author Shang, Ying
Wang, Chen
Zhang, Yongkang
Zhao, Wenan
Ni, Jiasheng
Peng, Gangding
author_facet Shang, Ying
Wang, Chen
Zhang, Yongkang
Zhao, Wenan
Ni, Jiasheng
Peng, Gangding
author_sort Shang, Ying
collection PubMed
description We demonstrate a non-intrusive dynamic monitoring method of oil well flow based on distributed optical fiber acoustic sensing (DAS) technology and the turbulent vibration. The quantitative measurement of the flow rate is theoretically acquired though the amplitude of the demodulated phase changes from DAS based on the flow impact in the tube on the pipe wall. The experimental results show that the relationships between the flow rate and the demodulated phase changes, in both a whole frequency region and in a sensitive-response frequency region, fit the quadratic equation well, with a max R(2) of 0.997, which is consistent with the theoretical simulation results. The detectable flow rate is from 0.73 m(3)/h to 2.48 m(3)/h. The experiments verify the feasibility of DAS system flow monitoring and provide technical support for the practical application of the downhole flow measurement.
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spelling pubmed-91852612022-06-11 Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing Shang, Ying Wang, Chen Zhang, Yongkang Zhao, Wenan Ni, Jiasheng Peng, Gangding Sensors (Basel) Communication We demonstrate a non-intrusive dynamic monitoring method of oil well flow based on distributed optical fiber acoustic sensing (DAS) technology and the turbulent vibration. The quantitative measurement of the flow rate is theoretically acquired though the amplitude of the demodulated phase changes from DAS based on the flow impact in the tube on the pipe wall. The experimental results show that the relationships between the flow rate and the demodulated phase changes, in both a whole frequency region and in a sensitive-response frequency region, fit the quadratic equation well, with a max R(2) of 0.997, which is consistent with the theoretical simulation results. The detectable flow rate is from 0.73 m(3)/h to 2.48 m(3)/h. The experiments verify the feasibility of DAS system flow monitoring and provide technical support for the practical application of the downhole flow measurement. MDPI 2022-05-26 /pmc/articles/PMC9185261/ /pubmed/35684664 http://dx.doi.org/10.3390/s22114044 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Shang, Ying
Wang, Chen
Zhang, Yongkang
Zhao, Wenan
Ni, Jiasheng
Peng, Gangding
Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing
title Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing
title_full Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing
title_fullStr Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing
title_full_unstemmed Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing
title_short Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing
title_sort non-intrusive pipeline flow detection based on distributed fiber turbulent vibration sensing
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185261/
https://www.ncbi.nlm.nih.gov/pubmed/35684664
http://dx.doi.org/10.3390/s22114044
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