Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81609
Title: Water Ingress Detection in Low-Pressure Gas Pipelines Using Distributed Temperature Sensing System
Authors: Wang, Libo
Narasimman, Srivathsan Chakaravarthi
Ravula, Sugunakar Reddy
Ukil, Abhisek
Keywords: Water ingress detection
Distributed network of low-pressure gas pipeline
Issue Date: 2016
Source: Wang, L., Narasimman, S. C., Ravula, S. R., & Ukil, A. (2016). Water Ingress Detection in Low-Pressure Gas Pipelines Using Distributed Temperature Sensing System. IEEE Sensors Journal, 17(10), 3165-3173.
Series/Report no.: IEEE Sensors Journal
Abstract: In a distribution network of low-pressure gas pipelines, the situation of gas leak can be further aggravated when groundwater enters the pipeline through leaks and eventually blocks the gas flow. This will have critical implications on the gas supply to the customers. This is termed as ‘water ingress’, which typically happens only in low-pressure distribution networks, and not in high-pressure transmission networks. In order to find the location of water ingress, distributed temperature sensing (DTS) system has been used experimentally. The results show significant temperature change immediately after the onset of water ingress, and with data post-processing based on temporal difference, location information of the leak can be obtained. With a selected time window of interest, the inclination of gas pipeline is also indicated by the differenced temperature profiles. The DTS system is still capable of identifying the position, even if the location of water ingress is changed.
URI: https://hdl.handle.net/10356/81609
http://hdl.handle.net/10220/42271
ISSN: 1530-437X
DOI: 10.1109/JSEN.2017.2686982
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [https://doi.org/10.1109/JSEN.2017.2686982].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
ERI@N Journal Articles

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