CORROSCAN works by combining large amounts of data with fast, iterative processing and algorithms, with the ability to automatically learn from data and historical experiences, while identifying patterns to make predictions.
The application leverages AI-driven analytics to forecast corrosion growth of process equipment and piping, up to 15 years into the future, while also providing valuable insights into the timing of inspections.
CORROSCAN gathers real-time and historical environmental, operational, and inspection data to support monitoring of corrosion growth.
The application helps optimize corrosion monitoring location (CML) inspection intervals and OPEX, while streamlining the inspection process to achieve higher efficiency.
CORROSCAN is integrated with the Meridium asset performance monitoring (APM) inspection database, featuring incoming live daily CMLs, all visualized on a dynamic smart dashboard.
Works off a main Condition Monitoring Locations (CML) dashboard and a Thickness Monitoring Location (TML) prediction dashboard.
Four level categorization system to identify and alert urgent issues: Urgent, 1-2 years, 2-5 years, 5+ years.
Ability to automatically learn from data and historical experiences, while identifying predictable patterns.
Real-time and accurate corrosion prediction results, enabling accurate reporting of occurrences.
Prevention of equipment failure, extension of equipment lifespan, minimization of downtime, and increased safety.
Reduction in maintenance costs and an increase in efficiency and productivity.
CORROSCAN improves the precision of inspection schedules, which reduces inspection scopes by 35-40%+.
To receive a comprehensive product catalog on CorroScan, please download the brochure by clicking below.
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