Speaker: Brent Railey, Manager of Data Science, Chevron Phillips Chemical

Brian Schriever, Process and Equipment Monitoring Analyst, Flint Hills Resources | Brian Johnson, Process & Equipment Monitoring Lead, Flint Hills Resources

Learn how Flint Hills Resources and Seeq partnered to achieve monitoring at scale in Seeq. The Evidence Manager project created a system built on Seeq that triaged thousands of alerts and improved their workflow for analyzing and collaborating on production issues. This presentation will walk through various stages of the development of this solution and how it has improved the end user experience.

Henny Hampton, Associate Director – Data & Digital Manufacturing Operations, Merck

Overall equipment effectiveness (OEE) is the industry leading metric for quantifying manufacturing productivity. In 2021, Merck began a rollout plan to leverage Seeq as their OEE solution at their Carlow site to automate their manual, excel-based processes for capturing and analyzing production losses. Merck leverages automated OEE calculations in Seeq on top of PI and PAS-X, along with an operator interface for categorizing downtimes in Seeq Data Lab, dashboards in Seeq Organizer, and integration with PowerBI for historical analysis. By standardizing and automating OEE, Merck can optimize productivity and throughput across its manufacturing network.

Oscar (Skeeter) Lewis, Asset Performance Consultant, Williams Companies | Rod Howard, Asset Performance Consultant, Williams Companies

Meter freezes are a common seasonal issue causing measurement inaccuracies in the gas gathering industry in cold climates, which are costly for the gatherer to replace for the customer. Williams developed a machine learning solution using Seeq Workbench and Data Lab to indicate when a freeze had occurred and provide an exception report to measurement analysts and operations. Learn how Williams’ approach to identifying meter freezes has evolved over the years to achieve early identification with financial benefits.