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
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
Discussion of the basics of good data collection, appropriate methods for filtering data, database requirements and the supporting infrastructure for possible Machine Learning applications.
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
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
Panel:
John Durnin, Marathon Petroleum Corporation
Steve Gill, HF Sinclair
Yangdong Pan, Delek US
Patrick Robinson, PBF Energy Inc.
Operation of a complex refinery process involves keeping the process within varous types of limits. These include safe operating limits, integrity operating windows, machine protection or other reliability limits, and product quality limits. This diverse background panel session from process controls and process safety management explores how to effectively identify these parameters and keep the limits in front of operators using instrumented shutdowns, alarm systems, and other monitoring and alerting software.
Facilitator:
Tim Olsen, Emerson Automation Solutions
Speakers:
Jerry Isch, Marathon Petroleum Corporation
Dave Lee, User Centered Design Services Inc.
Christi Mezzic, Emerson Automation Solutions
Johnny Serafin, Phillips 66
This is a panel session follow-on based on the recent AFPM webinar by Phillips 66 Bayway that discussed HMI and alarming enhancements during a control room modernization project. Key components discussed in the webinar were alarm rationalization and the development of HMI graphics based on human-centered design principles with the goal to improve safe reliable operation at the facility. Key design considerations come from industry standards and good shared practices, along with valuable input from key stakeholders across departments. This panel session will also discuss operator development to improve situation awareness as part of a control room modernization.
Come prepared with your questions by viewing the pre-session.
A well implemented alarm management program can deliver results that not only improves the operator’s situational awareness, decreases the potential of a safety related incident, and enhances environmental compliance but also reduces unplanned downtime, helps prevent equipment damage, lessens production losses due to off-spec production, and improves overall plant profitability. The alarm philosophy and rationalization efforts are key to establishing an effective alarm management program and sustaining it long-term.
Participants will:
Learn how Motiva improved their alarm management program.
Understand the need to have an alarm philosophy before beginning an alarm management program.
Understand the basics of alarm rationalization with a focus on quality alarms rather than quantity.
See related presentations on alarm management on the AFPM Safety Portal at https://safetyportal.afpm.org/File/2265/1
Moderator:
Tim Olsen, Emerson Automation Solutions