ReNewFine for Renewable Diesel and SAF: Benefiting from 20 Years of Experience in 100% HVO
Sponsored Content
Sponsored by Ketjen Corporation
Speaker:
Jaap Bergwerff, Ketjen Corporation
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Powering a Sustainable Future: Latest Axens Developments
Sponsored Content
Sponsored by Axens North America
Speakers:
Dominic Debonis, Axens North America
Mukund Yallambalse, Axens North America
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Extending Fired Heater Performance through Lifecycle Services by John Zink Hamworthy Combustion
Sponsored Content
Sponsored by Koch Engineered Solutions
Speaker: Chad Carroll, Director of Transformation, Koch Engineered Solutions
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Diamond Sponsor: Axens Co-presentation with ExxonMobil — Reforming Heater Basics and Baytown Refinery Tube Failure
Sponsored Content
Speakers:
Amit Gupta, Heurtey Petrochem Solutions
Amanda Nelson, ExxonMobil
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Gold Sponsor: Schneider Electric — The Future of Energy: Managing Molecule and Electrons
Sponsored Content
Speaker:
Constantine Lau, Schneider Electric
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Gold Sponsor: Baker Hughes — Understand and Manage Overhead Corrosion Risk with only 3 KPI’s
Sponsored Content
Speaker:
Kris Kohl, Baker Hughes
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Gold Sponsor: Trindent Consulting — Garbage In, Garbage Out: Reducing error in Refinery Planning and LP Analytics
Sponsored Content
Speaker:
Sarah Kozak, Trindent Consulting
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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
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