About this event
See how AI closed-loop automation saves millions on FCC systems
Where does AI optimization fit in the plant… and how do you get from the concept to a solution in a hectic and challenging production environment? Join us as we follow the journey of a customer’s implementation of Imubit’s AI optimization solution, from defining the plant’s objective to extracting millions of dollars of annualized value on a Fluidized Catalytic Cracking system by improving yield performance while managing key constraints all through direct control.
In this webinar you will see the entire journey: understanding the current state and the challenges at the plant, the scope of Imubit’s Closed Loop Neural Network™ solution, the path to adoption and implementation, and the ultimate value that was realized. As a bonus, we will show a stunning example of how deep learning models can understand the impact of unmeasured disturbances just through training on data that is available at the plant.
You will walk away with a high-level process of applying AI to capture your plant’s full value potential.
There will also be a live Question & Answer session during the webinar.
Over 10 years in refining and petrochemicals. Previous work experience includes process engineering, controls, and economics in refining and olefin operations for LyondellBassell. Has been at Imubit for 4 years, working and leading the implementation engineering team before moving into product.
Imubit is unlocking new profits at hydrocarbon processing plants with new deep learning process control technology.
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