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The AI Journey: Optimizing Fluidized Catalytic Cracking Units

About this event

See how AI closed-loop automation generates 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

  • Team member
    GH T
    Geraldine Hwang Product Manager @ Imubit

  • Team member
    JW T
    John Whiteside

  • Team member
    Abi Mukund Head of Product Strategy @ Imubit

    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.

  • Team member
    NL T
    Nell Lukosavich

  • Team member
    DL T
    David Lorkin


AI process optimization for refineries and chemical plants

Imubit is unlocking new profits at hydrocarbon processing plants with new deep learning process control technology.