Sensors (May 2022)

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

  • Ying Shang,
  • Chen Wang,
  • Yongkang Zhang,
  • Wenan Zhao,
  • Jiasheng Ni,
  • Gangding Peng

DOI
https://doi.org/10.3390/s22114044
Journal volume & issue
Vol. 22, no. 11
p. 4044

Abstract

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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 R2 of 0.997, which is consistent with the theoretical simulation results. The detectable flow rate is from 0.73 m3/h to 2.48 m3/h. The experiments verify the feasibility of DAS system flow monitoring and provide technical support for the practical application of the downhole flow measurement.

Keywords