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journalArticle
Melo
Carlos
Dann
Markus
Hugo
Ronald J.
Janeta
Alberto
Extreme value modeling
Integrity
Microbiologically influenced corrosion
Pitting corrosion
Risk
Unpiggable pipelines
Extreme value modeling of localized internal corrosion in unpiggable pipelines
Localized internal corrosion is one of the main failure mechanisms of energy pipelines. Microbiologically influenced corrosion (MIC) is a major contributor to internal corrosion in pipelines. Existing research uses extreme value analysis to fit extreme value distributions from data collected through either inspection or experiment to predict localized corrosion. The paper introduces an extreme value model to estimate the depth of localized internal corrosion considering MIC for unpiggable pipelines where inspection data is not available. The depth of material loss is estimated though a combination of corrosion analysis and extreme value modeling. A case study is provided to illustrate the proposed model. The application of a probabilistic approach supports risk-based inspection and maintenance planning for pipelines subject to internal corrosion.
104055
May 1, 2020
en
http://www.sciencedirect.com/science/article/pii/S0308016120300338
2020-03-03 09:53:28
ScienceDirect
International Journal of Pressure Vessels and Piping
182
International Journal of Pressure Vessels and Piping
DOI 10.1016/j.ijpvp.2020.104055
ISSN 0308-0161