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CORROSCAN

CORROSCAN by AIQ

CORROSCAN is a cloud-based solution leveraging advanced AI with historical data to enhance corrosion predictions.

Introduction

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.

Features

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.

Data visualization

Works off a main Condition Monitoring Locations (CML) dashboard and a Thickness Monitoring Location (TML) prediction dashboard.

Urgency alert

Four level categorization system to identify and alert urgent issues: Urgent, 1-2 years, 2-5 years, 5+ years.

Prediction improvement

Ability to automatically learn from data and historical experiences, while identifying predictable patterns.

Benefits

  • 01Data integrityReal-time and accurate corrosion prediction results, enabling accurate reporting of occurrences.
  • 02OPEX savingsPrevention of equipment failure, extension of equipment lifespan, minimization of downtime, and increased safety.
  • 03Maintenance cost reductionReduction in maintenance costs and an increase in efficiency and productivity.
  • 04Schedule precisionCORROSCAN improves the precision of inspection schedules, which reduces inspection scopes by 35-40%+.

Brochure

Please download the brochure by clicking below.

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