Project A2
Asset integrity AI
An AI module inside an asset integrity management system: it reads engineering drawings, inspection records and operating data, and predicts corrosion behaviour validated against field measurements.
SectorOil, gas and industrial assets
ScopeAI module for an integrity platform
StatusDelivered
What it does
- Ingestion of drawings, equipment lists, inspection reports and operating conditions into a structured asset model
- Machine-learning corrosion-rate prediction, trained and validated against field inspection data
- Remaining-life estimates and risk screening for integrity engineers
- Anomaly surfacing: measured behaviour that departs from the predicted trend
- Every prediction sits beside the physical calculation, never replacing it
How it runs
Documents and inspection history ingested
drawings, reports, conditions
Asset model assembled
equipment, circuits, measurement points
Prediction runs beside physics
validated against inspections
Risk screening for engineers
advisory, engineer decides
Outcomes
What changed
Result 01
Inspection planning informed by predicted, not only historical, behaviour
Result 02
Institutional knowledge captured from documents that used to sit in folders
Result 03
Engineers spend review time on the assets that need it