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.
Hosted by
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Team member
Geraldine Hwang Product Manager @ ImubitGH T
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Team member
John WhitesideJW T
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Team member
Abi Mukund Head of Product Strategy @ ImubitT
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.
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Team member
David LorkinDL T
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Team member
Nell LukosavichNL T
Imubit
AI process optimization for refineries and chemical plantsImubit is unlocking new profits at hydrocarbon processing plants with new deep learning process control technology.
