Journal of Optoelectronics · Laser, Volume. 35, Issue 7, 737(2024)

Oil-water two-phase measurement based on distributed fiber winding technology

FAN Linyu1, LIANG Lei1, JIA Qingsheng2、*, ZHANG Lei2, LIU Ming2, and DAI Shu1
Author Affiliations
  • 1National Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan, Hubei 430070, China
  • 2SINOPEC Research Institute of Petroleum Engineering Shengli Oilfield Company, Dongying, Shandong 257000, China
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    It is always been the difficulty to measure flow rate and phase content ratio of oil-water two-phase flow for the petroleum development. In this paper, the distributed acoustic sensing (DAS) technology is proposed for the acquisition and transmission of oil-water two-phase flow vibration signals of pipe wall. Axial stretching of the winding fiber consists two components: turbulent eddies vibration and sound speed of the turbulent flow. Then the mixing flow rate and phase content ratio are calculated by the fiber phase amplitude. To improve the sensitivity of vibration signal measurement with fiber, a winding fiber sensing model is proposed. We analyze the effects of two parameters, winding pitch and the number of tightly winding turns, on the vibration amplitude of the pipe wall and the sound speed along the axial direction of winding fiber, and experimentally verify three of the winding methods. It turns to more accurately measure the vibration of the pipe wall and the sound speed of the fluid with the winding method of 4 tightly winding turns at a pitch of 0.02 m. The R2 of fitting curves between the standard deviation of the fiber phase amplitude and the flow velosity within the pipe reaches 94%, and the calculated relationship between sound speed and oil content ratio is fully consistent with the theory.

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    FAN Linyu, LIANG Lei, JIA Qingsheng, ZHANG Lei, LIU Ming, DAI Shu. Oil-water two-phase measurement based on distributed fiber winding technology[J]. Journal of Optoelectronics · Laser, 2024, 35(7): 737

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    Paper Information

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    Received: Nov. 27, 2022

    Accepted: Dec. 13, 2024

    Published Online: Dec. 13, 2024

    The Author Email: JIA Qingsheng (jiapingsheng.slyt@sinopec.com)

    DOI:10.16136/j.joel.2024.07.0807

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