Williams Companies - Early Identification of Meter Freezes, A Systematic Approach using Seeq Data Lab and Machine Learning

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.

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    Williams Companies – Early Identification of Meter Freezes, A Systematic Approach using Seeq Data Lab and Machine Learning

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Using Seeq and PI to measure and reduce Compressor Blowdowns

Nicholas Galizia, Sr. Engineer and Matthew Whiteman, Technical Architect, Equitrans Midstream

Accurate measurement and reporting of methane emissions from natural gas compressor operations is a critical function. Learn how Equitrans Midstream shifted automated compressor blowdown calculations using Seeq. These calculations utilize Seeq’s formula functions and asset capabilities (including PI-AF) to scale calculations across the fleet of ~200 compressors. The results are then written back to PI for standard reporting and to utilize event frame notifications. This methodology has enabled streamlined reporting and rapid validation of process improvements.

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    Using Seeq and PI to measure and reduce Compressor Blowdowns

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