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
Speakers
Session Start End
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Preview! The Debut of AFPM's Next Virtual Reality Simulation
Training
Moderator:
Timothy Chappell, ExxonMobil Corporation
Speakers:
Timothy Chappell, ExxonMobil Corporation
Cheryl Gonzalez, Cheniere Energy
Speakers
Session Start End
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Topic
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
Speakers
Session Start End
-
Immersive VR and eLearning: Interactive Training for the Future Workforce
Training
Speakers:
Vickie Bradford, Marathon Petroleum Corporation
Timothy Chappell, ExxonMobil Corporation
Dr. Richard Hannah, Health and Safety Council
Jay Turner, Flint Hills Resources, LLC
Tyler Veenstra, Marathon Petroleum Corporation
Interactive, immersive, virtual simulations that allow learners the opportunity to fail in a safe environment, develop a more robust mental framework and provide deeper understanding around Winterization and the First 5 Minutes of an emergency situation.
Session Start End
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Topic