• Laser & Optoelectronics Progress
  • Vol. 62, Issue 3, 0306003 (2025)
Shichong Fu1,2,*, Dan Zhang1, and Qun Luo2
Author Affiliations
  • 1School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, Jiangsu , China
  • 2China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, Hubei , China
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    DOI: 10.3788/LOP240863 Cite this Article Set citation alerts
    Shichong Fu, Dan Zhang, Qun Luo. Leakage Identification and Localization Method for Gas Transmission Pipeline Based on Distributed Acoustic Sensing[J]. Laser & Optoelectronics Progress, 2025, 62(3): 0306003 Copy Citation Text show less
    Schematic diagram of the gas leakage simulation
    Fig. 1. Schematic diagram of the gas leakage simulation
    Schematic diagram of the optical sensing cable with a spiral structure[20]
    Fig. 2. Schematic diagram of the optical sensing cable with a spiral structure[20]
    Image of pipeline leakage hole
    Fig. 3. Image of pipeline leakage hole
    Relative position diagram of optical sensing cable and pipeline
    Fig. 4. Relative position diagram of optical sensing cable and pipeline
    Time-domain intensity change curves of the sensing channel near the leak point
    Fig. 5. Time-domain intensity change curves of the sensing channel near the leak point
    Time-domain intensity change curves of background noise and leakage signal
    Fig. 6. Time-domain intensity change curves of background noise and leakage signal
    Comparison of frequency spectra between leakage signal and background noise
    Fig. 7. Comparison of frequency spectra between leakage signal and background noise
    STFT results of background noise and leakage signal (0‒15 s is background noise, 15‒30 s is leakage signal)
    Fig. 8. STFT results of background noise and leakage signal (0‒15 s is background noise, 15‒30 s is leakage signal)
    Comparison of frequency spectra between background noise and leakage signal when leakage distance is 12 cm
    Fig. 9. Comparison of frequency spectra between background noise and leakage signal when leakage distance is 12 cm
    STFT result of time-averaged DAS signal
    Fig. 10. STFT result of time-averaged DAS signal
    Schematic diagram of leakage location in gas transmission pipeline
    Fig. 11. Schematic diagram of leakage location in gas transmission pipeline
    Spectral average amplitude distribution of each sensing channel
    Fig. 12. Spectral average amplitude distribution of each sensing channel
    Comparison of spectra between the 6th sensing channel and the 8th sensing channel
    Fig. 13. Comparison of spectra between the 6th sensing channel and the 8th sensing channel
    Distribution of correlation coefficient between the 6th sensing channel and the 8th sensing channel
    Fig. 14. Distribution of correlation coefficient between the 6th sensing channel and the 8th sensing channel
    Cross-correlation result between the 6th sensing channel and the 8th sensing channel
    Fig. 15. Cross-correlation result between the 6th sensing channel and the 8th sensing channel
    Test numberMeasurement distance /mTime delay /sCalculated distance /mError /%
    10.74-0.015000.9832.43
    2-0.012450.9427.03
    30.009500.5920.27
    4-0.012150.9325.68
    5-0.008300.8717.57
    Table 1. Results of leakage precision location
    Shichong Fu, Dan Zhang, Qun Luo. Leakage Identification and Localization Method for Gas Transmission Pipeline Based on Distributed Acoustic Sensing[J]. Laser & Optoelectronics Progress, 2025, 62(3): 0306003
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