Asset & System Reliability| Application

Shell Corrosion Advanced Risk Modeling and Analytics

Shell Corrosion Advanced Risk Modeling and Analytics

Overview​

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

Prerequisites

Complements

Data Sheet

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