Failure pressure ratios and implied reliability levels for corrosion anomalies on gas transmission pipelines

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study investigates the relationship between the failure pressure ratio (FPR) and implied reliability level for corrosion anomalies on natural gas transmission pipelines governed by the Canadian oil and gas pipeline standard CSA Z662-15 The model recommended in Annex O of CSA Z662-15 is adopted to evaluate the burst pressure capacity of a given corrosion anomaly on a pipeline, and the first-order reliability method (FORM) is used to evaluate the reliability index of the anomaly by considering uncertainties associated with the pipe geometric and material properties, ILI-reported anomaly sizes, operating pressure and accuracies of the burst pressure capacity models. The analysis results suggest that the FPR-reliability index relationship for pipelines with utilization factors greater than or equal to 0.72 is independent of the pipe attributes and geometry of the corrosion anomaly, if the measurement error associated with the ILI-reported anomaly depth is relatively small. Sensitivity analyses are carried out to examine the sensitivity of the FPR-reliability index relationship to the measurement error associated with the ILI-reported anomaly depth.

Original languageEnglish
Title of host publicationPipelines and Facilities Integrity
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791850251
DOIs
StatePublished - 2016
Externally publishedYes
Event2016 11th International Pipeline Conference, IPC 2016 - Calgary, Canada
Duration: 26 Sep 201630 Sep 2016

Publication series

NameProceedings of the Biennial International Pipeline Conference, IPC
Volume1

Conference

Conference2016 11th International Pipeline Conference, IPC 2016
Country/TerritoryCanada
CityCalgary
Period26/09/1630/09/16

Keywords

  • %SMYS factor
  • Corrosion mitigation
  • Failure pressure ratio
  • Model error and measurement error
  • Reliability index

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