Kyle Miller, Automation Manager, Marathon Oil

At Marathon Pipe Line (MPL), we used Seeq to develop a custom line shutdown condition loaded with calculations to describe the nature of the event (with pressure and temperature variables) that applies to every segment of interest in our operating areas. It replaced an older tool that was cumbersome to use and limited in scope, as well as the practice of combing through old shift reports and reading descriptions of events. On-call specialists have been trained to use and interpret this tool, as well as apply it to new segments when necessary.

Fabian Schlieck, Performance Engineer, Uniper

The German power industry is experiencing significant changes and challenges, with a focus on ensuring a reliable energy supply. Uniper is leveraging data science, particularly using Seeq, to enhance the reliability and efficiency of its operations. Seeq enables rapid, in-depth analysis of operational data to identify and address incidents like boiler tube leaks, compare actual performance against predictions, and make adjustments as necessary. It also aids in analyzing the performance impact of hardware changes and utilizes weather forecasts to predict future asset performance. This approach improves operational decision-making and supports Uniper’s digital transformation and the strategic management of its power generation assets.

Manish Yashvant, Global Strategic Alliances, Industrial Manufacturing, Amazon Web Services

Speakers: Chris Hamlin, Director of Capability

Development & Krista Novstrup, Principal Analytics Engineer, Seeq

Speaker: Jesse Karkheck, Remote Process Monitoring SME, Guardian Glass