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Lubricant analysis programme

06 December 2016

ExxonMobil has launched Mobil Serv Lubricant Analysis, a new mobile-enabled used oil analysis service that will help operators identify equipment issues before they happen and avoid unscheduled equipment maintenance. 

When monitored regularly, the used oil analysis programme can help to enhance equipment reliability, reduce maintenance costs and unscheduled downtime, improve equipment durability and reduce lubricant consumption. It can also help to extend oil drain intervals, which in turn improves safety by minimising intervention with machinery. 

Designed to streamline the entire used oil analysis process from initial sample gathering to final reporting, the service leverages scan-and-go technology with QR Codes so customers can easily deliver used oil samples to ExxonMobil’s oil analysis laboratory. Customers can then access results and customised equipment recommendations on mobile or tablet devices using a cloud-based app and share it with any other parties, as needed. 

The new services package, which replaces ExxonMobil’s Signum, can also eliminate labels and paperwork and facilitates real-time communication of sampling scheduling and results. However, customers will still be able to manage and asses their reporting manually. In addition to the new, user-friendly interface, the system offers improved response time. 

“The Mobil Serv Lubricant Analysis programme can be accessed via any mobile device and our new report layout and expanded trend analysis make it simpler for users to understand the diagnosis and act on our recommendations” said Ayman Ali, ExxonMobil’s industrial marketing adviser for Europe, Africa and the Middle East.”

The used oil analysis programme offers an extensive analysis allowing customers to track productivity and spot typical anomalies. With 25 testing options available users are able to pick and choose the right test package for their operation.

The service is available now and customers previously registered to Signum will have automatically migrated to the new programme, along with their analysis history.

 
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