Technical Papers
Apr 16, 2018

Pipeline Leak Detection Using the Matched-Field Processing Method

Publication: Journal of Hydraulic Engineering
Volume 144, Issue 6

Abstract

A transient-based leakage detection method using a matched-field processing (MFP) scheme is formulated and applied. It is found to be efficient, robust, accurate, and provides a unique solution. Its inherent efficiency stems from the fact that the MFP method decouples the search for the leak location and the leak size. Its robustness is demonstrated by showing that the MFP method is able to estimate the location and size of leak in the presence of (1) noise even for signal-to-noise ratio (SNR) as low as SNR=3 dB, and (2) uncertainty in the fluid–pipe system wave speed. Another positive attribute of the MFP method is that it is able to use all available frequencies, rather than just resonant frequencies, and does not need to identify resonant frequencies. As a result, the MFP method provides precise localization estimates even in noisy environments. It is also shown that a unique identification is achieved by the MFP method provided that the pressure signal is measured at two locations along the pipe. For the case of multiple leaks, MFP identifies each of the leaks provided that the distance between the leaks is of the same order or larger than the shortest probing half-wavelength.

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Acknowledgments

The work described in this paper was supported by the research grants from the Research Grant Council of the Hong Kong SAR, China (Project No. T21-602/15R). The authors acknowledge Duncan A. McInnis, Bryan Karney, Fedi Zouari, Alireza Keramat, Moez Louati, and Jingrong Lin for their helpful comments and discussions.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 144Issue 6June 2018

History

Received: Feb 17, 2017
Accepted: Dec 18, 2017
Published online: Apr 16, 2018
Published in print: Jun 1, 2018
Discussion open until: Sep 16, 2018

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Research Associate, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong, China (corresponding author). ORCID: https://orcid.org/0000-0002-1156-3840. Email: [email protected]
Mohamed S. Ghidaoui, M.ASCE [email protected]
Chinese Estates Professor of Engineering and Chair Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong, China. Email: [email protected]

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