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Improve business decisions and outcomes

"In a conventional way, we would form a team to look at the problem, and it would take weeks to fix that problem… technically you couldn’t get this particular decision to be made, as fast as that."

- Head of Offshore Operations

Transforming Advanced Analytics

End to end rapid AI modelling

OPUS: An artistic work, especially on a large scale

OPUS’ automated end-to-end AI pipeline enables data experts and SMEs to access historic and real-time data, build and run AI models rapidly to target specific outcomes, receiving automated insights and alerts.

The unique holistic approach to analysing data across the entire process, not just one individual piece of equipment, allows the AI model to detect minute anomalies, with accurate predictions often weeks in advance. Customer teams can act on these insights and plan intervention, mitigation and predictive maintenance.

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Product Features

OPUS features

Rapid Unlimited AI Modelling

Models can be built in minutes and automatically deployed straight into your live environment. No limitation on the number of models or data volume.

AI Model Wizard

Our simple step-by-step model wizard makes AI modelling easy, no programming or coding required.

Detailed Predictions

Drill-down insights highlight the potential root cause and time to failure. Model confidence rating automatically calculated.

Savings with AI

Business Value within four weeks

Start delivering on-going business value within four weeks from data ingestion

VROC OPUS

Use Cases for No-Code Industrial AI

OPUS in action

OPUS can be used to form a baseline for new assets and optimize settings from the very beginning. This can be used by the asset owner to build accountability, support warranty and performance claims, and to postpone first planned shutdowns.

Implement AI predictive maintenance with OPUS. The advanced analytics provides alerts for equipment and process degradation, allowing for planned early interventions, scheduling of correct personnel and spare parts. Reduce your maintenance spend with OPUS.

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Implement advanced analytics with OPUS to target specific outcomes, including asset lifespan extension, comparison of identical processes, reduction of energy usage, forecasting, optimisation of processes, reduction in flaring or emissions.

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Forecast a future value, such as what a value will be at a set point in time, perhaps 24 hours, 7days, or 14 days in advance. Users can produce no-code AI models for an output, such as a future production level, or a future demand on their process or services. With future insights businesses can decide how they respond, scaling up or down or planning a necessary intervention to improve the outcome.

OPUS can assist companies create an energy baseline at an enterprise level, as well as provide insights which can be used to establish energy policies, inform targets setting, along with on-going essential insights to identify significant energy usage, opportunities for optimization and continual improvement at a granular actionable level.

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Businesses can improve sustainability and net-zero carbon endeavours with AI insights. OPUS continually analyses all available data, providing insights to help companies prevent environmental incidents such as flaring and contamination, along with emission reduction. Build dashboards to monitor and report on sustainability targets and achievements, and areas for continual improvement.

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CUSTOMER BENEFITS

Our client's success is our success

“It took our Focus group 2 weeks to come up with the problem with the gas compressor and form an action plan. When we met with VROC, the VROC model gave all the problems that we needed to focus on in less than 10minutes. This helped the engineers pinpoint the problem.”

Manager Head Strategy & Performance Health Safety & Environment, Gas and New Energy

“We have prolonged the gas compressor reliability to four months, from a maximum of 2 weeks running. The GCM uptime has improved to a value of 21.7m USD.”

Head of Offshore Operations

“Let everyone use, don’t restrict to any process engineer or operation engineer, give everybody access including business planners, let everyone use it. Because the beauty of this is that it will open the eyes of the importance of Artificial Intelligence in Oil and Gas.”

Manager Head Strategy & Performance Health Safety & Environment, Gas and New Energy
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Get started with VROC today

Ready to embark on a pilot project or roll-out the innovation enterprise wide? Perhaps you need assistance integrating your systems or accessing your data? We have a solution to help you as you progress through your digital transformation.