Abnormal Situation Management


This panel session will explore how operating companies leverage industry good practices and advanced computing technology to swiftly process predictive analytics. It will also cover the use of high-performance HMI graphics and effective alarm management to enhance situational awareness.

Participants will:
· Learn how analytics (predictive, process conditions nearing an operating limit, reliability focused machine learning, corrosion prediction tied to IOWs, etc.) can assist with identifying pre-abnormal conditions and take appropriate actions to avoid an abnormal situation (prevention).

· Learn how high-performance HMI graphics can improve situational awareness to detect abnormal situations before alarms occur and perform required action(s) faster to avoid consequences.

· Understand the aspect of dealing with abnormal situations is alarm management. It is essential to maximize the time available for operators to respond while keeping the number of alarms triggered at a minimum. Preventing abnormal situations before the alarms activate keeps the console operators focused on the operation without having to manage an abnormal event.

See related presentations on the AFPM Safety Portal at https://safetyportal.afpm.org/

Moderator:
Tim Olsen, Emerson Automation Solutions

Speakers:
Carlos Acosta, Phillips 66
Vance Flosenzier, INVISTA
David Lee, User Centered Design Services, Inc.
Marsha Wisely, Athion
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