VROC enables oil and gas operators to move beyond reactive maintenance and siloed monitoring by applying real-time, predictive AI across assets, processes, and sites. Engineers gain earlier insight into equipment degradation, clearer understanding of root cause, and the confidence to intervene before failures impact safety, production, or cost.
Use AI-driven digital twins and simulation to understand performance limits, test scenarios, and optimise operations under changing conditions.
Capabilities include:
Digital twin and what-if simulation
Sensitivity analysis and performance benchmarking
Energy and emissions optimisation
Identification of process inefficiencies and constraints
These insights help operators maximise production while maintaining safe and stable operations.
Track energy performance and emissions in real time to identify inefficiencies, abnormal consumption, and deviation from expected operating behaviour. VROC supports optimisation of energy use and emissions intensity while maintaining stable, reliable operations across facilities.
Monitor and manage reliability across diverse fleets of equipment operating under varying conditions. VROC scales predictive maintenance and deviation management across mixed asset types, enabling consistent insight, prioritisation, and decision-making at fleet level.
Client supply of historical data and set-up of real-time streaming
Data ingestion and real-time data streaming connection
Client training and model generation
Models in production. Client starts delivering business value
Discover how VROC helps oil and gas operators improve reliability, reduce downtime, and optimise production using predictive, real-time AI.
Explore Oil and Gas SolutionsGain real-time visibility, predict failure earlier, optimize performance, and take control of your operations with VROC’s integrated solutions.