PrAnCorr
Utilizes big data analytics and machine learning to predict the occurrence of corrosion metal loss along the pipelines.
Pain-Points
Successfully solved pain points for PrAnCorr.
Increased OPEX spending for intelligent pigging, operation pigging, chemical injection and etc. to control & monitor internal corrosion activities
Unutilized big data from operational and inspection data to uncover corrosion dimension prediction & classification
Incidences or downtime due to corrosion threat caused significant loss to pipeline operators
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