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.

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

Johannes Sikström, Senior Development Engineer, Boliden

The most energy-intensive step in a mineral concentration plant is grinding, in some cases 40% – 50% of the total site consumption. Optimizing the grinding operations has the most impact in power consumption and mill throughput. Seeq was used to perform analysis of the mill power utilization in Boliden Garpenberg to identify the potential and then the performance of a new advanced process control system. The results of the assessment and early evaluation will be presented here.