Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)

Systematic Analysis on Pipeline Leak Detection and Location

Authors
Qibin Yang, Wei Sun
Corresponding Author
Qibin Yang
Available Online August 2013.
DOI
10.2991/icaise.2013.27How to use a DOI?
Keywords
Pipeline leakage, detection;negative pressure wave
Abstract

Because pipeline has large pipe diameter, large throughout and high pressure, once pipeline leakage accident happens, the damage is quite serious. In addition, pipeline leakage accident caused by man-made drilling oil stolen every year results in huge economic losses on oilfield. Therefore, a real-time and accurate pipeline leak detection and location system not only can effectively decrease leakage loss and reduce the waste of manpower and material resources in patrolling work, but also is conductive to the management of oil pipeline and improvement of economic efficiency of enterprise. The paper determines leak detection and location project giving priority to negative pressure wave and supplemented by flow parameter analysis. The method not only can judge the accidence of leakage timely and accurately, but also can effectively avoid leakage false alarm caused by start or stop pumps in pipeline.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icaise.2013.27
ISSN
1951-6851
DOI
10.2991/icaise.2013.27How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qibin Yang
AU  - Wei Sun
PY  - 2013/08
DA  - 2013/08
TI  - Systematic Analysis on Pipeline Leak Detection and Location
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 125
EP  - 131
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.27
DO  - 10.2991/icaise.2013.27
ID  - Yang2013/08
ER  -