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Using AI/ML and Data Analytics to Optimize the STO (Shutdown, Turnaround, Outage) Work Process and Performance

About the Session

ABOUT THE SESSION

Brett Schroeder will discuss the significant impact of STO events on assets, including costs, lost profit opportunities, and safety concerns. He emphasizes the adoption of standard STO work processes by industry leaders to ensure high STO readiness. Brett will explore how AI/ML techniques help organizations analyze complex data, make better decisions, and optimize work processes for improved STO performance. Real-life examples of how AI/ML enhances STO processes for oil and gas companies will be presented. 

Key Topics

01 STO events have a large business impact on an asset due to the cost, lost profit opportunity while the asset is offline, and potential safety and environmental impacts during the event.
02 Many industry leaders have adopted a standard STO work process that includes key elements to ensure high degrees of STO readiness.
03 Critical success factors for achieving desirable STO outcomes involve both the quality of the work process and its implementation.
04 AI/ML techniques help us understand large, complex data to optimize work processes and improve STO performance.
05 Real-life examples of how AI/ML has been used to improve STO processes and outcomes for oil and gas companies.

For more on this conference or to access the session, reach out to us at info@ptnevents.com.

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