Implementing a Refinery Diesel Pool Optimizer Using Neural Networks and Reinforcement Learning
Artificial Intelligence, Advanced Process Controls
Facilitator:
Atique Malik, AIControl LLC
Speaker:
Yangdong Pan, Delek US
Toni Adetayo, Imubit, Inc.
Multi-unit optimization has long been a complex issue in the oil and gas industry. Despite efforts using first-principle models or empirical approaches, challenges persist. However, the emergence of machine learning and AI technologies offers an alternative solution. In particular, AI-based process control technology has shown promise for multi-unit optimization. This session will delve into an example using a distillate system optimizer to understand how these AI models address large-scale optimization challenges and how parent and child models collaborate.
Participants will learn:
- The strength of the technology and its high flexibility of handling core issues
- How the technology deals with the availability of individual units, and cooperates with unit controllers from other advanced control technologies
- How to sustain the technology’s performance and benefits
- A site-wide AI adoption strategy
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What Every New Reliability and Maintenance Engineer Should Know
Reliability & Maintenance Bootcamp
Speakers:
Bill Clark, Phillips 66
Dean Roberts, Ergon Refining, Inc.
Join us for the first ever Reliability & Maintenance Bootcamp!
This series is designed for new engineers in reliability and maintenance who seek practical technical skills, hands-on experience, and exposure to real-world scenarios.
Stay informed. Register early for the 2025 Reliability & Maintenance Bootcamp Webinar.
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