Abstract
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.
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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