Digital Transformation: Conditioning Your Workforce for Artificial Intelligence
Artificial Intelligence
Artificial Intelligence (AI) is a transformative technology that is presently influencing, or will eventually influence, nearly every facet of our personal and professional lives. Although much of the information highlights the benefits of AI, it also raises concerns about potential negative impacts and unintended consequences. It's crucial to prepare the workforce for AI to reduce disruptions. Leaders will share their experiences with AI deployments, the methods used to ensure success, and lessons learned for future AI initiatives.
Take Aways:
- Awareness of potential impacts of AI on personnel and culture
- Methods and techniques employed to achieve and sustain positive acceptance of AI
- Insights into how AI is impacting jobs and job roles and defining new valued skill sets
Moderator:
Brent Railey, Chevron Phillips Chemical Company LP
Speakers:
Holly Fitch, Marathon Petroleum Corporation
Tyler Harnos, Big West Oil, LLC
Siva Lakshmanan, DeepHow
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Topic
Driving Down Coker Giveaway With AI-Based Process Control
Artificial Intelligence
Facilitator:
Atique Malik, AIControl LLC
Speakers:
Chris Harrison, Marathon Petroleum Corporation
This session will discuss the project development and workflow, implementation, and application maintenance of an Imubit DLPC that was used to reduce giveaway on drum cycles on a delayed coker unit. The DLPC was successful in reducing the number of cycles in which the target level was not achieved in the fixed cycle time period. This resulted in an overall reduction in the number of barrels given away in each cycle. The application has achieved great acceptance by Operations.
Participants will:
- Gain an understanding of the Imubit DLPC application to reduce giveway on Coker Drum cycles
- Gain an understanding of the workflow for an Imubit DLPC project
- Gain an understanding of unique challenges and lessons learned from the project
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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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