Track: Digital Transformation
This symposium highlights the growing role of machine learning in managing pipeline corrosion, from predicting degradation rates to enhancing inspection and monitoring strategies. By combining historical data, sensor inputs, and environmental factors, machine learning enables more accurate risk assessments and proactive maintenance. The session aims to connect corrosion experts and data scientists to drive smarter, data-informed integrity solutions.
