"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
The average oil and gas platform has between 30k and 200k sensors, which accumulate well over 2TB of data per day. With industrial AI, Oil and Gas operators can leverage this data to obtain real-time critical insights for improved reliability, performance, and compliance.
OPUS is a no-code automated AI platform that enables existing teams of engineers and subject matter experts to model their assets and processes in minutes, providing continuous predictions and insights to optimize complex day-to-day operations.
Deployable in just weeks, OPUS can radically improve decision making, predicting when maintenance is required and improving production rates for Oil and Gas producers.
Predict failures in advance with 99% confidence so you can plan mitigation strategies, schedule qualified personnel and order long lead spares. With VROC OPUS you can improve your asset reliability and prevent sudden unplanned shutdowns. One customer reduced their production losses by 83%, through increased uptime and asset reliability.
VROC’s Automated AI can detect impending failures on newly commissioned assets without any history of failures, providing detailed root cause analysis and contributing factors for the predicted error.
Optimize complex oil and gas processes, target specific outcomes such as asset life extension, increased output, reduced operating costs or compare identical processes to identify the causes of performances differences. VROC OPUS can detect correlations between seemingly un-connected processes, as it automatically learns from data across the whole plant or platform.
Read MoreImprove the efficiency of remote operations for un-manned oil and gas platforms and platforms with reduced personnel. VROC’s OPUS assists operators maintain production and increase platform reliability despite switching to remote working. Real-time performance monitoring, predictions for future events and risk matrix dashboards help remote teams prioritise workloads and assist with critical decision making.
Improve your asset’s environmental compliance, such as flaring, leakage and over-boarding with insights for improved asset reliability. Target power reduction or build a baseline of plant power usage and emissions and track the performance of your ESG targets with real-time performance monitoring, all through the one easy-to-use platform.
Read MoreClient 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
Whether you’re launching your first pilot or scaling AI across your enterprise, VROC’s end-to-end platform and expert team can help you unlock data, optimise performance, and accelerate results.
Interested in a demo of one of our data solution products?
DataHUB4.0 is our enterprise data historian solution, OPUS is our Auto AI platform and OASIS is our remote control solution for Smart Cities and Facilities.
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The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
Learn more about DataHUB+, VROC's enterprise data historian and visualization platform. Complete the form to download the product sheet.
Learn how OASIS unifies your systems, streams real-time data, and gives you full control of your smart facility—remotely and efficiently. Complete the form to access the product sheet.
Discover how OPUS, VROC’s no-code Industrial AI platform, turns your operational data into actionable insights. Complete the form below to access the product sheet and learn how you can predict failures, optimise processes, and accelerate AI adoption across your facility.
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