"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.
Rapid remote deployment so you can start delivering business value within four weeksRead more
Model problem statements and target specific outcomes without coding or programming knowledgeRead More
Deployed globally with proven results in upstream, midstream and downstream oil and gasRead more
Automated AI process trains models and deploys them into production in minutes, giving you real-time predictions and insightsRead More
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 More
Improve 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 More
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
“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.”
“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.”
“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.”
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VROC identified the root cause of reliability issues x2000 faster than traditional reliability analysis on offshore platformRead Case Study
Chemicals are an operating cost for a water treatment plant. Operators can reduce costs by dosing just enough chemical to acRead Case Study
Global refinery suffered chronic premature filter clogging for 20 years, resulting in costly and frequent plant shutdowns. VRead Case Study
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.
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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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Ready to embark on a pilot project or roll-out AI innovation enterprise wide? Perhaps you need assistance integrating your systems or storing your big data? Whatever the situation, we are ready to help you on your digital transformation.
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 DataHUB4.0, VROC's distributed enterprise data historian. Complete the form form to download the product sheet.
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'OPUS, an artistic work, especially on a large scale'
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