PrAnCorr
Utilises 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, operating pigging, chemical injection and others to control and monitor internal corrosion activities

Unutilised big data from operational and inspection data to uncover corrosion dimension prediction and classification

Incidences or downtime due to corrosion threat caused significant loss to pipeline operators
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