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
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Prerequisites for Data Collection and Use in Safety Applications
Artificial Intelligence, Safety
Facilitator:
Atique Malik, AIControl LLC
Speakers:
Brian McClure, Marathon Petroleum Corporation
Emily Stewart, Marathon Petroleum Corporation
Discussion of the basics of good data collection, appropriate methods for filtering data, database requirements and the supporting infrastructure for possible Machine Learning applications.
Come prepared with your questions by viewing the pre-session webinar recording.
Speakers
Session Start End
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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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Reforming and Isom Safety and Reliability Q&A Panel
Gasoline Processes, Safety, Reliability
Speakers:
Rhett Finch, Marathon Petroleum Corporation
Matt Hutchinson, Axens North America
Heidi Fraser, Honeywell UOP
Thomas Porritt, Chevron USA Inc.
Alex Sabitov, Phillips 66
Russ Wiltse, Valero Energy Corporation
Panel of operating company SMEs and technology licensors will discuss several topics on safety and reliability of Reforming and Isom process units and will be ready to address additional questions from the audience.
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