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Predictive Assessment of External Corrosion on Transmission Pipelines

[+] Author Affiliations
Gaël Pognonec, Vincent Gaschignard

Gaz de France, Saint-Denis La Plaine, France

Philippe Notarianni

GRTgaz, Saint-Denis La Plaine, France

Paper No. IPC2008-64316, pp. 489-498; 10 pages
doi:10.1115/IPC2008-64316
From:
  • 2008 7th International Pipeline Conference
  • 2008 7th International Pipeline Conference, Volume 2
  • Calgary, Alberta, Canada, September 29–October 3, 2008
  • Conference Sponsors: International Petroleum Technology Institute and the Pipeline Division
  • ISBN: 978-0-7918-4858-6 | eISBN: 798-0-7918-3835-8
  • Copyright © 2008 by ASME

abstract

Oil and Gas operators have to deal with the ageing process of their transmission pipeline grid. Some of these pipelines can be inspected using In Line Inspection (ILI) tools. In order to maintain an acceptable integrity level, re-inspection operations have to be performed. This process needs to be optimized in terms of resources and cost. Gaz de France R&D Division has developed a methodology which prioritizes rehabilitation operations on a pipeline after in-line inspections, and determines the optimal interval for re-inspection. A reliable help decision software tool which applies the methodology has also been developed. Dealing with defects assimilated to external electrochemical corrosion, the developed methodology is based on: • pigs information in order to assess a probable corrosion growth rate; • probabilistic distribution of input parameters (geometrical characteristics of defects, characteristics of the pipe and corrosion growth rate); • probabilistic methods of calculation : the probability of failure is calculated with the Monte-Carlo method. The convergence of the calculation is accelerated with the Cross Entropy method. The calculation results take the form of three probabilities of failure: • a punctual probability of failure for each defect; • an annual probability of failure for each defect; • an annual probability of failure per kilometer of pipe. To interpret the results, the annual probability of failure per kilometer of pipe is then compared with threshold values.

Copyright © 2008 by ASME
Topics: Corrosion , Pipelines

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