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
Facilitators:
Lance Cox, Nalco Water
Dean Roberts, Ergon Refining, Inc
Speaker:
Raúl Romero, Nalco Water
In this session we will discuss different aspects related to the design, operation, troubleshooting and maintenance of different wash water systems operating in different units of a refinery. Since it is a critical application from the reliability point of view, different practices and criteria are applied based on experience.
Learn from an incident where a sand blast pot was opened under pressure. We will discuss how the site was effected by this incident and how Motiva partnered with onsite contractors to create an onboarding document and video to ensure this type of incident is not repeated.