Case Study: Global Refinery Oil Company eliminates chronic filter clogging with VROC AI

Global Refinery Filter Reliability Problem Eliminated

A global refinery oil company faced a chronic issue with premature filter clogging that had caused costly, frequent plant shutdowns for two decades. The problem was exceptionally complex due to the plant's numerous interdependent processes. The company engaged VROC, which utilized its no-code AI platform, OPUS, to tackle this long-standing operational challenge.

VROC analyzed 12 months of historical data, comprising 44.4 billion data points from over 170,000 sensors, and identified the root cause of the clogging within hours. The solution provided engineers with the insights needed to eliminate the issue. As a result, the refinery now expects to save more than $1.2 million per year from reduced maintenance costs and downtime, solving a 20-year-old problem.