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Probabilistic Design Methodology to Mitigate Ice Gouge Hazards for Offshore Pipelines

[+] Author Affiliations
Shawn Kenny, Jim Bruce, Tony King, Arash Nobahar, Ryan Phillips

C-CORE, St. John’s, NL, Canada

Richard McKenna

Consultant, Wakefield, QC, Canada

Paper No. IPC2004-0527, pp. 1925-1933; 9 pages
doi:10.1115/IPC2004-0527
From:
  • 2004 International Pipeline Conference
  • 2004 International Pipeline Conference, Volumes 1, 2, and 3
  • Calgary, Alberta, Canada, October 4–8, 2004
  • Conference Sponsors: International Petroleum Technology Institute
  • ISBN: 0-7918-4176-6 | eISBN: 0-7918-3737-8
  • Copyright © 2004 by ASME

abstract

For offshore pipelines located in ice environments, the mitigation of ice gouge hazards presents a significant technical challenge. A traditional strategy is to establish minimum burial depth requirements that meet technical and economic criteria. A probabilistic based approach to optimize burial depth requirements based on equivalent stress and compressive strain limit state criteria is presented. The basic methodology is to define ice gouge hazards on a statistical basis, to develop numerical algorithms that model ice gouge mechanisms and pipeline/soil interaction events, to define failure criteria, limit states and target reliability levels and to conduct a probabilistic assessment of pipeline burial depth requirements. Application of the probabilistic design methodology for a generic pipeline design scenario subject to ice gouge hazards is presented. Implications on pipeline design and future applied research initiatives are discussed.

Copyright © 2004 by ASME

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