We use physics-based simulation models, AI/ML algorithms and/or hybrid modeling to protect critical assets:
1. Predictive Maintenance – We use physics-based simulation models, AI/ML algorithms and/or hybrid modeling to protect critical assets:
- Monitor the structural health of the asset in near real time.
- Calculate RUL (remaining useful life) of the asset.
- Assess the FFS (Fitness of Service) L3 as per API 579.
- Conduct what-if scenarios to optimize production while protecting the structural integrity of the asset.
- predictive analytics and prescriptive maintenance for industrial heat transfer systems.
- Robotic inspection – We offer a set of NDT tools and approaches including:
- Ultrasonic inspection robots for measuring at the mm2 level the current condition of asset and collect data at an unprecedented scale increasing efficiencies and reducing labor and time.
- Permanent sensors for corrosion and erosion monitoring
- Monitoring of corrosion under insulation
- Advanced tools like ultrasonic PAUT, TOFD, TFM, ATFM and Foucault ECT.
- Risk-Based Inspection (RBI) – By combining data from different tools and simulation results, we produce an effective risk matrix, based on real insights and not just mundane information, to prioritize inspections based on the risk associated with the equipment.