One of VROC clients is an Oil and Gas operator. Their off-shore platform is equipped with two primary Turbine Compressors operating in parallel. The client wanted to predict potential undesirable performance and reliability issues, so that they could intervene early to avoid shutdowns.
OPUS is used by the oil and gas platform, with real time operational data from across the whole plant being continually ingested.
The client's Subject Matter Expert, generated a Time to Failure (TTF) AI model on the OPUS platform for Turbine Compressor #2 (TC2), to predict undesirable performance. This TTF model was trained in order to predict potential Turbine Compressor undesirable performance, using the Tubrine Compressor's speed as the target.
This model is generated in order to get early warning detection when turbine rotational speed (NGP) is about to reduce below than 8000 rpm.
Based on the features introduced to the model, the model established a strong relationship with one of the features known as LUBE OIL RESERVOIR LEVEL (shown below). The model raises a warning every time the lube oil level reduces and requires top up. Such behaviour was not observed in the other turbine compressor. However, the model warnings are reduced after the Operation team has rectified the coupling cover & tightened the connections.
The models have shown the top contributor for the failure of Turbine Compressor #2 on high speed is the lube oil tank level. After rectifying the major lube oil leaking issue, it's performance has improved. The client's team are now closely monitoring the lube oil level, topping up whenever necessary to ensure continued reliability.
This is one of several recent 'catches' by the Oil and Gas Plant Operators using the no-code AI platform. These insights are helping the client prevent unplanned downtime, and improve production on their offshore platform.
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.
