How connected data, catalyst expertise, and AI-enabled monitoring can help refiners act sooner on performance signals
In refinery operations, small changes can have big consequences. A dip in hydrogen purity, lower hydrogen partial pressure, declining catalyst activity or an emerging anomaly may start quietly. If the signal waits for the next scheduled review, the window to respond can close quickly.
The issue is not expertise. It is timing. By the time drift appears in a report or scheduled review, the refinery may already have made an operating decision, lost cycle length or accepted a margin penalty. Digital tools and AI can help refiners and catalyst companies collaborate closer to real time.
When Insight Comes Too Late
In one hydroprocessing unit, hydrogen purity began drifting from the desired range. The change was not identified until months later, after the refinery had committed to an emergency catalyst change. Earlier detection could have added an estimated six to eight weeks of cycle runway.
Results vary by unit and operating context, but one validated program showed the value of faster startup, an optimized operating plan and avoidance of a unit trip that could have cost about $13.8 million. The value comes from shrinking the time between the first sign of drift and the moment experts can respond.
Helping Refiners Act Earlier by Connecting Unit Data with Catalyst Expertise
Earlier this year, Ketjen launched iKet, a digital service that connects refinery operating data with Ketjen’s catalyst expertise and AI-enabled analytics. The platform brings process data, catalyst data, reports, recommendations, inventory information, logistics and certificates of analysis into one secure environment so teams can act on a more current view of performance.
Refineries control what data is shared, how often it is shared and how far the connection extends. As the platform matures, it can support trend visibility, exception identification, anomaly detection, advisory insights and AI-enabled optimization.
Why It Matters: Move from Periodic Reviews to Earlier Action
In traditional catalyst service, engineers can spend considerable time gathering data, formatting spreadsheets and preparing information for review. Automated connectivity reduces that manual burden and helps technical conversations begin from a shared, current view of performance.
Most importantly, connected catalyst intelligence strengthens collaboration. When refinery teams and technical service experts see the same information sooner, recommendations can be discussed while there is still time to act.