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

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Brett Schroeder

CEO at AP-Networks

Session Description
Brett Schroeder is the CEO of AP-Networks, where he oversees strategic direction and growth. With over 25 years of experience in energy and petrochemical sectors, he’s been pivotal in developing the company’s values and client-focused approach. Schroeder is set to discuss optimizing STO work processes using AI/ML and Data Analytics.

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. Schroeder points out that achieving desirable STO outcomes relies on both the quality of the work process and its implementation. He will showcase how AI/ML techniques help organizations understand complex data, enabling better decisions and optimizing work processes for improved STO performance. Real-life examples of using AI/ML to enhance STO processes for oil and gas companies will be presented.
Key Topics

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