In this paper, a new leak detection system based on a pattern recognition algorithm in a shut-in condition of a pipeline is presented. For a fully shut-in pipeline, the governing fluid dynamic equations are simplified to the thermodynamic state postulates. Hence, the shut-in section can be treated as a closed thermodynamic system with no mass flow in or out of the system boundaries. The system always contains the same amount of matter, but heat and work can be exchanged across the boundaries of the system. The pattern recognition algorithm presented in this paper automatically monitors the pressure drop patterns and generates an alarm when the pattern of pressure gradients matches the leak signatures. The algorithm takes into account the effect of thermal cooling and other operational complexities to enhance the reliability performance of the scheme. Results of the performance of the shut-in leak detection system are presented and discussed in this paper. Both simulated and historical leak scenarios during shut-in state are used to investigate the performance of the shut-in leak detection scheme.
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2016 11th International Pipeline Conference
September 26–30, 2016
Calgary, Alberta, Canada
Conference Sponsors:
- Pipeline Division
ISBN:
978-0-7918-5027-5
PROCEEDINGS PAPER
Leak Detection for Shut-In Pipelines Available to Purchase
Frank Vejahati,
Frank Vejahati
Enbridge Pipelines Inc., Edmonton, AB, Canada
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Noorallah Rostamy,
Noorallah Rostamy
Enbridge Pipelines Inc., Edmonton, AB, Canada
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Nader Noroozi
Nader Noroozi
Enbridge Pipelines Inc., Edmonton, AB, Canada
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Frank Vejahati
Enbridge Pipelines Inc., Edmonton, AB, Canada
Noorallah Rostamy
Enbridge Pipelines Inc., Edmonton, AB, Canada
Nader Noroozi
Enbridge Pipelines Inc., Edmonton, AB, Canada
Paper No:
IPC2016-64675, V003T04A014; 5 pages
Published Online:
November 10, 2016
Citation
Vejahati, F, Rostamy, N, & Noroozi, N. "Leak Detection for Shut-In Pipelines." Proceedings of the 2016 11th International Pipeline Conference. Volume 3: Operations, Monitoring and Maintenance; Materials and Joining. Calgary, Alberta, Canada. September 26–30, 2016. V003T04A014. ASME. https://doi.org/10.1115/IPC2016-64675
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