Technical Papers
Oct 6, 2021

Experimental Investigation on Characteristics of Leak Noise in Gas Pipeline Systems

Publication: Journal of Pipeline Systems Engineering and Practice
Volume 13, Issue 1

Abstract

Pipelines are essential elements in the daily operation of modern cities, but significant economic loss and environmental damage commonly occur because of pipeline leakage. The acoustic method has proven to be effective for leak detection and location in gas pipelines. However, very little is currently known about the characteristics of leak noise generated by different leak shapes, sizes, and pressures. Moreover, the feasibility of the acoustic method in the presence of complexities has not been closely examined. This study attempted to address these research gaps through an experimental investigation. A pipeline test bed with a length of approximately 100 m and an internal diameter of 150 mm was established, and was structured to permit different leak shapes (circle and rectangle), sizes (φ1, φ3, and φ5 for circular leaks; 2×1, 2×3, and 2×10  mm for rectangular leaks) and pressures (0.1 and 0.3 MPa). The cross-correlation method was used to locate the leakage. The results suggest that leak noise is mainly concentrated at low frequencies and was capable of being transmitted into the branch and across bends. It is likely to be the leak area that affects leak noise and the effect of leak shapes can be neglected. The leak was accurately detected and located with a sensor distance of up to 70.15 m when the bandpass filter was appropriately selected. The feasibility of the acoustic method to detect and locate leakages in complex pipelines was demonstrated.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by The National Key Research and Development Program of China (Grant No. 2016YFC0802400) and National Natural Science Foundation of China (Grant No. 51878510).

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 13Issue 1February 2022

History

Received: Feb 13, 2021
Accepted: Aug 26, 2021
Published online: Oct 6, 2021
Published in print: Feb 1, 2022
Discussion open until: Mar 6, 2022

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Ph.D. Student, College of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China. Email: [email protected]
Professor, Shanghai Institute of Disaster Prevention and Relief, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China. ORCID: https://orcid.org/0000-0002-2997-826X. Email: [email protected]
Jie Li, Aff.M.ASCE [email protected]
Professor, State Key Laboratory on Disaster Reduction in Civil Engineering and College of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China (corresponding author). Email: [email protected]

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  • Review and analysis of pipeline leak detection methods, Journal of Pipeline Science and Engineering, 10.1016/j.jpse.2022.100074, 2, 4, (100074), (2022).

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