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An Approach to Reduce the Amount of ILI Data in Fatigue Analysis of Pits in Pipelines

[+] Author Affiliations
Nicolas O. Larrosa, Robert A. Ainsworth

University of Manchester, Manchester, UK

Pablo Lopez-Crespo

University of Malaga, Malaga, Spain

Paper No. OMAE2017-62594, pp. V03BT02A039; 5 pages
doi:10.1115/OMAE2017-62594
From:
  • ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 3B: Structures, Safety and Reliability
  • Trondheim, Norway, June 25–30, 2017
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-5766-3
  • Copyright © 2017 by ASME

abstract

This paper presents a screening methodology that is used to reduce the amount of data requiring detailed analysis from that obtained during in-line inspection (ILI). The methodology uses ILI outputs (dimensions of flaws, orientation and distance from starting point) to generate a visualisation of the pits within the pipeline, a ranking of pits in terms of sphericity (roundness) and depth, to evaluate pit density and generate the models for finite element analysis. The rendering tool allows a clearer view of defects within the pipelines and provides a simplified way to focus on critical pits. For a particular case of in-field data provided by BP, the number of pits in a 12-inch riser of 11 km length was reduced from 1750 obtained to 43, 15 or 4 requiring analysis, depending on the level of conservatism introduced by the analyst. The tool will allow Oil and Gas owners and operators to reduce the immense amount of data obtained during pigging to a much less time-consuming set for flaw assessment.

Copyright © 2017 by ASME

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