Our client owns and operates an oil rig in the North Sea. When operating the rig it is important to ensure the equipment remains reliable and production is optimised, as any drops in production or failures in equipment have significant repercussions. These repercussions are further exacerbated by the remote operation as well as the recent COVID pandemic, which has seen a drop in oil price and a hightened risk around safety. Our clients reliability team have been using the VROC AI predictive maintenance platform for a number of months and have been able to catch critical deviations, giving them valuable time to intervene and prevent the failures from taking place.
VROC successfully detected and predicted a failure in our client's Generator. The VROC AI predictive maintenance models detected an abnormal bearing temperature increase, and predicted the likely hood of an event to occur at 100%.
Our client's reliability team tried restarting the generator, however this did not fix the issue and the VROC model continued to predict a failure. Unfortunately the generator tripped on high temperature lube oil, which was being caused by a blockage in the lube oil cooler. The cooler system did not have remote sensing, which meant it was not possible to model this particular component. An accurate bearing temperature model reacted to the cooler problem and indirectly predicted the issue, alerting the client team to the problem.
After fixing the cooler blockage, the system returned to normal operation and the VROC predictive maintenance model no longer showed a red warning.
Our client's team were alerted to the issue with the Generator before it happened. With proper remote sensing we would have been able to identify the root cause and save more than 2000 barrels of oil by preventing a shutdown.
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.
Book your demo with our team today!
Complete the form below and we’ll connect you with the right VROC expert to discuss your project. Whether you’re launching a pilot, scaling AI across your enterprise, or integrating complex systems, we’ll help you turn your data into actionable insights—fast, efficiently, and with confidence.
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.
Interested in reading the technical case studies? Complete the form and our team will be in touch with you.
Subscribe to our newsletter for quarterly VROC updates and industry news.
