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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Walk the Line: Fostering Collaboration for Process Safety Excellence
Walk the Line
Moderator:
Lawrence Moreaux, LyondellBasell Industries
Panelists:
Vince Deckard, Flint Hills Resources, LLC
Joshua Gray, Motiva Enterprises LLC
Speakers
Session Start End
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Topic
Shielding Trust: The Power of Vigilance and Verification
Walk the Line
Speakers:
Audra Higgins, Phillips 66
Kacey Lopez, Phillips 66
Russell Thompson, Phillips 66
Hear from front line Maintenance and Operations personnel from the Sweeny Refinery as they discuss Walk-the-Line, how supervisor engagement enhances the ability of front-line employees to perform hazard assessments and taking your safety into your own hands. They will highlight tools that have improved their Hazard Identification and Mitigation, leading to three consecutive AFPM DSA Awards.
Attendees will learn:
- What walk the line actually means.
- Importance of Supervision in influencing proper hazard assessments.
- Protect Yourself, trust but verify.
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
-