Pipelines in transmission pipeline networks often traverse land slopes along the right-of-way; especially near water crossings. While the vast majority of these slopes are stable, some might have a potential for instability related movements. Accordingly, pipelines subjected to these movements are susceptible to strain overload which may cause loss of containment in terms of buckling and/or tensile elongation failure modes. In order to analyze the risk of failure of pipelines due to slope movement it is beneficial to establish probabilistic approaches that can predict the likelihood of failure at each site given both aleatory and epistemic uncertainties. Estimation of such likelihood would support prioritization of integrity mitigation actions and confirm pipelines’ safety. There is a gap in pipeline literature in terms of available probabilistic approaches to analyze, assess, and manage such an integrity threat. Two probabilistic approaches are presented herein; a qualitative ranking analysis of slope hazards (QuRASH) and a semi-quantitative analysis of slope hazards (SQuASH). QuRASH is a qualitative approach that adopts site scores based on available slope characteristics, historical movements, expert opinion, and mitigation strategies. SQuASH is a reliability-based explicit limit state approach. Both approaches were applied to a large simulated sample of slope crossings that exhibit characteristics representative of North America transmission pipeline slope crossings. The resulting probabilities of failures were directly compared to those predicted based on expert judgement. The high ranked sites compared favorably with those evaluated by experts to exhibit elevated threats. This successful comparison provides a certain level of confidence in the proposed approaches.
Skip Nav Destination
2018 12th International Pipeline Conference
September 24–28, 2018
Calgary, Alberta, Canada
Conference Sponsors:
- Pipeline Division
ISBN:
978-0-7918-5187-6
PROCEEDINGS PAPER
Methodologies for Establishing the Probability of Pipeline Failure at Slope Crossings
Millan Sen,
Millan Sen
Enbridge Pipelines, Edmonton, AB, Canada
Search for other works by this author on:
Sherif Hassanien,
Sherif Hassanien
Enbridge Pipelines, Edmonton, AB, Canada
Search for other works by this author on:
Smitha Koduru
Smitha Koduru
C-FER Technologies, Edmonton, AB, Canada
Search for other works by this author on:
Millan Sen
Enbridge Pipelines, Edmonton, AB, Canada
Sherif Hassanien
Enbridge Pipelines, Edmonton, AB, Canada
Yves Cormier
Stantec, Edmonton, AB, Canada
Smitha Koduru
C-FER Technologies, Edmonton, AB, Canada
Paper No:
IPC2018-78352, V002T06A013; 10 pages
Published Online:
November 6, 2018
Citation
Sen, M, Hassanien, S, Cormier, Y, & Koduru, S. "Methodologies for Establishing the Probability of Pipeline Failure at Slope Crossings." Proceedings of the 2018 12th International Pipeline Conference. Volume 2: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain Based Design; Risk and Reliability; Northern Offshore and Production Pipelines. Calgary, Alberta, Canada. September 24–28, 2018. V002T06A013. ASME. https://doi.org/10.1115/IPC2018-78352
Download citation file:
23
Views
Related Proceedings Papers
Related Articles
Uncertainty of Integral System Safety in Engineering
ASME J. Risk Uncertainty Part B (June,2022)
Target Reliability Levels for Design and Assessment of Onshore Natural Gas Pipelines
J. Pressure Vessel Technol (December,2009)
Risk Assessment Methodology for Electric-Current Induced Drowning Accidents
ASME J. Risk Uncertainty Part B (September,2016)
Related Chapters
PSA Level 2 — NPP Ringhals 2 (PSAM-0156)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Insights and Results of the Shutdown PSA for a German SWR 69 Type Reactor (PSAM-0028)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
A PSA Update to Reflect Procedural Changes (PSAM-0217)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)