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Predicting the Failure Pressure of SCC Flaws in Gas Transmission Pipelines

[+] Author Affiliations
Raymond R. Fessler

Biztek Consulting, Inc., Evanston, IL

David Batte

Macaw Engineering, Ltd., Newcastle upon Tyne, UK

Gabriela Rosca

TransCanada, Calgary, AB, Canada

Greg Van Boven

Spectra Energy, Vancouver, BC, Canada

Gary Vervake

Spectra Energy, Houston, TX

Sergio Limon

Williams Gas Pipeline-West, Salt Lake City, UT

Paper No. IPC2012-90236, pp. 653-660; 8 pages
  • 2012 9th International Pipeline Conference
  • Volume 2: Pipeline Integrity Management
  • Calgary, Alberta, Canada, September 24–28, 2012
  • Conference Sponsors: International Petroleum Technology Institute, Pipeline Division
  • ISBN: 978-0-7918-4513-4
  • Copyright © 2012 by ASME


An important requirement for the management of stress-corrosion cracking (SCC) in natural gas transmission pipelines is the ability to predict accurately the burst failure pressure of flaws that have been discovered, particularly those found by crack detection in-line inspection (ILI). ASME B31.8S contains guidance for categorization of SCC based on predicted failure pressure for the cracks. Assessment of the segments is based on the severity category of SCC.

As part of a Joint Industry Project (JIP) addressing the management of SCC in gas transmission pipelines, eight operators have assembled information relating to 85 in-service failures, hundreds of hydrostatic test failures, and dozens of pipe burst tests in which failure was due to SCC. Within the database are a wide range of pipe grades and sizes. Failures are due to both high pH and near-neutral pH SCC, and the flaws that initiated failure range from simple thumbnails to complex groups of cracks in a three-dimensional cluster.

This paper presents some of the results from a comprehensive comparative study of the failure pressure predictions obtained using API 579 Level II, ln-secant, CorLAS® and PAFFC methods for around 40 of the best-characterized datasets within the above database. From the results obtained, the sensitivities of the calculations to the calculation method used and to the input data, such as flaw profile, are examined. The results provide useful guidance to all those involved in predicting failure pressures as part of their threat management activities.

Copyright © 2012 by ASME
Topics: Pressure , Pipelines , Failure



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