"We have prolonged the gas compressor reliability to four months, from a maximum of 2 weeks running. The GCM uptime has improved with the value of 21.7m USD.
Head of Offshore Operations
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.
Oil and gas operations are increasingly complex – often operating across aging infrastructure, remote locations, and variable operating conditions. Traditional condition monitoring and rule-based systems struggle to keep pace with these realities.
Common challenges include:
VROC addresses these challenges through a unified, solution-led platform that connects monitoring, prediction, optimization and control.
Monitor equipment health, process conditions, and operational KPIs in real time—from offshore platforms and pipelines to processing facilities and terminals.
Capabilities include:
Integrated remote operations dashboards
KPI-to-sensor traceability for operational transparency
Alarm rationalization and prioritization
Real-time deviation management across processes
Asset geolocation and fleet-level visibility
This enables operators and engineers to see issues developing as they happen—not after production is impacted.
Real-Time Monitoring & Operations
VROC’s predictive maintenance models learn normal operating behaviour and detect subtle deviations that signal early-stage equipment degradation—long before thresholds or alarms are breached.
Key outcomes:
Time-to-Failure (TTF) and Remaining Useful Life (RUL) forecasting
Multivariate root cause analysis at sensor and component level
Earlier intervention with greater confidence
Reduced unplanned downtime and maintenance costs
Extended asset life for aging and brownfield equipment
This approach supports reliability-centred maintenance without the burden of rule creation or constant tuning.
Predictive Maintenance & Reliability
Use AI-driven digital twins and simulation to understand performance limits, test scenarios, and optimize operations under changing conditions.
Capabilities include:
Digital twin and what-if simulation
Sensitivity analysis and performance benchmarking
Energy and emissions optimization
Identification of process inefficiencies and constraints
These insights help operators maximize production while maintaining safe and stable operations.
Performance Optimization
VROC connects predictive and optimisation insights directly to operational control through modern, web-based interfaces.
Capabilities include:
Web SCADA for monitoring and control
Integration with existing control systems
Operator-led decision support and execution
This ensures insights don’t stop at dashboards—they drive action.
Control & Automation
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
Detect early-stage degradation in critical rotating equipment by learning normal operating behaviour across vibration, temperature, pressure, and process conditions. VROC predicts time-to-failure, identifies contributing components, and enables earlier, more targeted maintenance—reducing unplanned downtime and extending asset life.
Identify subtle process deviations before they escalate into production losses or safety events. VROC continuously monitors multivariate process behaviour, highlights abnormal operating patterns in real time, and pinpoints the parameters driving instability—supporting faster diagnosis and corrective action.
Provide a unified, real-time view of assets, processes, and KPIs across multiple sites and regions. VROC enables remote operations teams to monitor equipment health, prioritise alarms, track deviations, and support field teams with actionable insights—without relying on site-specific rules or manual analysis.
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.
Extend the useful life of brownfield and aging assets by detecting degradation earlier and understanding the conditions that accelerate wear. VROC’s predictive models support informed decisions on maintenance, refurbishment, and operating limits—reducing capital pressure while maintaining reliability and safety.
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.
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.