A study of different sour crude flowlines revealed that severe corrosion attacks are concentrated near the inlet part of the pipelines. This observation suggests a transition zone beyond which corrosion attacks are significantly accumulated. In this study, a clustering algorithm is used to identify a transition zone for pipelines as a function of several parameters which were selected from the literature as most critical. A comparison with ground truth data will validate the extent of which the transition zone is a function of the selected critical parameters. Present findings would be insightful for improved risk control and integrity management of pipelines.

Subject
Piping, Mackinawite, Corrosion rate, Iron sulfides, Pipelines, Inspection, Clusters, Metal loss, Partial pressures, Corrosion attacks, Corrosion scales, Corrosion losses, Corrosion data
Keywords:
Internal corrosion, sour system, pitting, inspection, H2S, corrosion products, mackinawite, k-mean clustering
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2023
Association for Materials Protection and Performance (AMPP)
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