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Abstract In corrosion management, the biggest challenge often isn’t the data – it’s making sense of it. Most facilities, especially those with aging infrastructure, are sitting on a wealth of information from decades of operation: inspection records, RBI data, IOW exceedances, corrosion rates, CMMS history, and more. But when that data is siloed, inconsistent, or difficult to interpret, its value is lost. This prevents decision-makers from seeing the complete picture in time to act. This presentation explores how advanced data visualization tools are transforming corrosion management by making complex datasets actionable. Visualization delivers immediate context, allowing integrity teams to move faster, align approaches, and spot risk trends before they become failures. Key technologies covered include: Digital Twins that integrate real-time sensor data with historical records to monitor asset health and predict corrosion progression. 3D modeling and point clouds for detailed spatial analysis of corrosion damage and asset geometry. Computer vision techniques automating corrosion detection and severity grading. Interactive dashboards consolidating multiple data streams for trend analysis and decision support. These tools don’t require operators to overhaul existing systems – rather, they can be used to amplify the frameworks already in place. Through real-world use cases, the session will demonstrate how these tools can support earlier corrosion detection and more preventive maintenance aligned with RBI and asset integrity management frameworks. Attendees will learn practical strategies to implement visualization tools that enable proactive corrosion management -- helping aging infrastructure remain resilient in the face of evolving demands of the energy transition.
DOI: 10.5006/ac2026_00036