Asset & System Reliability| Applications
Shell Corrosion Advanced Risk Modeling and Analytics
Predict corrosion in critical equipment and tubing using Artificial Intelligence and Machine Learning on telemetry data to reduce maintenance costs.
Features & Benefits
- Reduce loss of primary containment (LOPC) events and the resulting HSSE risk
- Reduce and eventually eliminate related inspections, reducing cost and exposure hours
- Optimise maintenance strategy, Integrity Operating Windows (IOWs) and processing limits, increasing production margins
- Monitor asset integrity health of global assets
- Prioritise investigation of contributing features to equipment corrosion
- Predict corrosion rate with regression Machine Learning models leveraging data such as telemetry data, wall thickness sensors, crude properties, maintenance jobs
- Provide capability to visualise equipment degradation, contributing features and rank top bad actors at Corrosion Monitoring Location (CML) level
- Shell Autonomous Integrity Recognition
- Shell Sensor Intelligence Platform
- Shell Predictive Maintenance Control Valves
Interested in this solution?
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