Method for leak detection and location for gas networks

Małgorzata Kwestarz , Andrzej J. Osiadacz , Łukasz Kotyński


Leak detection in transmission pipelines is important for safe operation of pipelines. The probability of leaks may be occurred at any time and location, therefore pipeline leak detection systems play a key role in minimization of the occurrence of leaks probability and their impacts. During the operation of the network there are various accidents or intentional actions that lead to leaks of gas pipelines. For each network failure, a quick reaction is needed before it causes more damage. Methods that are used to detect such network failures are three-staged-: early identification of leakage, an accurate indication of its location and determine the amount of lost fluid. Methods for leak detection can be divided into two main groups: external methods (hardware) and internal methods (software). External leak detection methods require additional, often expensive equipment mounted on the network, or use systems that could display only local damage on the pipeline. The alternative are the internal methods which use available network measurements and signalling gas leakage signal based on the mathematical models of the gas flow. In this paper, a new method of leak detection based on a mathematical model of gas flow in a transient state has been proposed.
Author Małgorzata Kwestarz (FEE / DPEGHS)
Małgorzata Kwestarz,,
- Department of Power Engineering and Gas Heating Systems
, Andrzej J. Osiadacz (FEE / DPEGHS)
Andrzej J. Osiadacz,,
- Department of Power Engineering and Gas Heating Systems
, Łukasz Kotyński (FEE / DPEGHS)
Łukasz Kotyński,,
- Department of Power Engineering and Gas Heating Systems
Journal seriesArchives of Mining Sciences, ISSN 0860-7001
Issue year2019
Publication size in sheets0.95
Keywords in Englishleak detection, network simulation, transient state
ASJC Classification1906 Geochemistry and Petrology; 1909 Geotechnical Engineering and Engineering Geology
Languageen angielski
Archiwum-64-1-09-Kwestarz.pdf 2.36 MB
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 20-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.129; WoS Impact Factor: 2018 = 0.589 (2) - 2018=0.702 (5)
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