Full Content is available to subscribers

Subscribe/Learn More  >

On Leak Detection of Pipelines Using Computational Pipeline Monitoring

[+] Author Affiliations
Kamal A. F. Moustafa

United Arab Emirates University, Al Ain, UAE

Gamal M. Nawara, Hesham Elawady, Mohsen Fouad

Zagazig University, Zagazig, Egypt

Paper No. PVP2008-61691, pp. 147-153; 7 pages
  • ASME 2008 Pressure Vessels and Piping Conference
  • Volume 7: Operations, Applications and Components
  • Chicago, Illinois, USA, July 27–31, 2008
  • Conference Sponsors: Pressure Vessels and Piping
  • ISBN: 978-0-7918-4830-2 | eISBN: 0-7918-3828-5
  • Copyright © 2008 by ASME


The unintentional release of fluid from pipelines is considered as a leak. Leaks contribute to the environmental pollution, promote corrosion and equipment failures and produce instabilities in the pipeline operation and control. There is a need, therefore, to develop an effective leak diagnosis scheme in pipeline systems that can detect the occurrence of any leak in the system. One objective of this paper is to develop a mathematical model that accounts for the behavior of pressure and flow-rate profiles in pipeline systems with multi leaks. Such a mathematical model is needed to better understand the dynamic behavior of the pipeline and its characteristics and for the detection the leaks. The paper also involves computer simulation of pipeline conditions using the developed mathematical model. A leak detection scheme is developed that is based on a computational pipeline monitoring method. This method evaluates the mismatch between the actual variables and those of the healthy pipeline system. The pipeline conditions during normal operation were simulated and the system state variables were computed in real time based on simulated measurements collected at few selected locations along the pipeline. The underlying pipeline variables are estimated by applying Kalman filtering technique.

Copyright © 2008 by ASME
Topics: Pipelines , Leakage



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In