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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/11/4044 |
| _version_ | 1797491763985776640 |
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| author | Ying Shang Chen Wang Yongkang Zhang Wenan Zhao Jiasheng Ni Gangding Peng |
| author_facet | Ying Shang Chen Wang Yongkang Zhang Wenan Zhao Jiasheng Ni Gangding Peng |
| author_sort | Ying Shang |
| collection | DOAJ |
| 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<sup>2</sup> of 0.997, which is consistent with the theoretical simulation results. The detectable flow rate is from 0.73 m<sup>3</sup>/h to 2.48 m<sup>3</sup>/h. The experiments verify the feasibility of DAS system flow monitoring and provide technical support for the practical application of the downhole flow measurement. |
| first_indexed | 2024-03-10T00:52:59Z |
| format | Article |
| id | doaj.art-7fe605981b5d4a9c85985705a7024b6f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T00:52:59Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7fe605981b5d4a9c85985705a7024b6f2023-11-23T14:47:45ZengMDPI AGSensors1424-82202022-05-012211404410.3390/s22114044Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration SensingYing Shang0Chen Wang1Yongkang Zhang2Wenan Zhao3Jiasheng Ni4Gangding Peng5Laser Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, ChinaLaser Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, ChinaLaser Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, ChinaLaser Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, ChinaLaser Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, ChinaSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, AustraliaWe 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<sup>2</sup> of 0.997, which is consistent with the theoretical simulation results. The detectable flow rate is from 0.73 m<sup>3</sup>/h to 2.48 m<sup>3</sup>/h. The experiments verify the feasibility of DAS system flow monitoring and provide technical support for the practical application of the downhole flow measurement.https://www.mdpi.com/1424-8220/22/11/4044distributed acoustic sensorflow monitoringturbulent vibrationnon-intrusive detection |
| spellingShingle | Ying Shang Chen Wang Yongkang Zhang Wenan Zhao Jiasheng Ni Gangding Peng Non-Intrusive Pipeline Flow Detection Based on Distributed Fiber Turbulent Vibration Sensing Sensors distributed acoustic sensor flow monitoring turbulent vibration non-intrusive detection |
| 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 | distributed acoustic sensor flow monitoring turbulent vibration non-intrusive detection |
| url | https://www.mdpi.com/1424-8220/22/11/4044 |
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