Shang Ying, Wang Chen, Zhang Yongkang, Zhao Wenan, Ni Jiasheng, Peng Gangding
Laser Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Jinan Institute of Quantum Technology, Jinan 250101, China.
Sensors (Basel). 2022 May 26;22(11):4044. doi: 10.3390/s22114044.
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 of 0.997, which is consistent with the theoretical simulation results. The detectable flow rate is from 0.73 m/h to 2.48 m/h. The experiments verify the feasibility of DAS system flow monitoring and provide technical support for the practical application of the downhole flow measurement.
我们展示了一种基于分布式光纤声学传感（DAS）技术和湍流振动的油井流量非侵入式动态监测方法。基于管道壁上管内流动冲击，通过DAS解调相位变化的幅度，从理论上获取了流量的定量测量值。实验结果表明，在整个频率区域和敏感响应频率区域，流量与解调相位变化之间的关系均与二次方程拟合良好，最大相关系数R为0.997，这与理论模拟结果一致。可检测的流量范围为0.73米/小时至2.48米/小时。实验验证了DAS系统流量监测的可行性，并为井下流量测量的实际应用提供了技术支持。
