Locating Metal Loss Through Analytical Processes

Explore how machine learning can help pipeline operators detect and predict metal loss when inline inspection data is unavailable. By analyzing 28 pipeline parameters, researchers developed models that achieved high accuracy in classifying corrosion and predicting depth, providing a promising tool for managing difficult-to-inspect pipelines.