Late-life assets challenge the balance of maintaining uptime and asset integrity while meeting regulatory compliance and production targets. This challenge needs to be met by the operators and asset owners while managing their OPEX to maintain profitability.
VROC was engaged by an operator to use our AI Platform to remotely monitor the health of their offshore platforms in the North Sea to better understand reliability issues.
During the project period, due to increased restrictions caused by the pandemic, only personnel critical to the performance of the asset could go onsite. This meant that among others, Reliability Engineers were restricted to working remotely, and would normally have no direct visibility of asset performance. Maintenance crew not directly related to requirements offshore were also subject to these restrictions which would have potentially effected asset performance.
Within a three-week period, VROC was able to ingest the historical data and start downloading live data from their historian through a secure data connection.
After a week’s training on building models and dashboards and with support from VROC data scientists and engineers, the operator’s key asset performance and reliability engineers were able to deploy AI models and visualisation dashboards on critical assets e.g., compressors, generators, and water injection pumps to monitor their health and performance. These graphic representations of asset health, with the ability to drill down to find contributing factors and root causes for any significant deviations from normal operations, helped in the early identification of future problems.
Over a nine month proof of concept, the client experienced significant benefits and return on investment which are highlighted below.
PERSONNEL
Reliability personnel working remotely due to COVID-19 lockdown were able to track asset health in real time and put in place mitigation strategies to avoid shutdowns.
MAINTENANCE
Maintenance was able to be reorganised to minimise firefighting and transition to a risk based approach based on predicted failures, allowing better shutdown planning
OPTIMISATION
As a result of better visibility of their equipment, the operator was able to focus on optimising individual processes using complex models
OPEX REDUCTION
Direct and immediate cost savings have come from having fewer personnel on board (POB) and reduced maintenance; however, the significant savings have resulted from the mitigation of failures and optimisation of processes.
Plant 1 US$1.8M reduction in production loss, $1.4M savings due to reduced downtime, 83% reduction in production loss
Plant 2 US$431,000 reduction in production loss, 80% reduction in production loss
As these examples illustrate, significant benefits that have been directly derived by the late-life asset operator during one of the most challenging years for the oil and gas industry. The direct correlation with a reduction in OPEX is evident and often immediate with the deployment of the VROC machine learning modelling techniques on our AI 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.
