Advanced analytics drive IIoT success
Refineries and petrochemical plants face similar challenges in daily operations. Each must mitigate risk, anticipate maintenance, optimize operations and minimize expenses. To achieve these goals, plant personnel rely heavily on data to drive decisions.
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The Author
Zinsli, J. - Seeq, San Francisco, California
Joanna Zinsli is a Principal Analytics Engineer at Seeq Corp. She enjoys helping engineers across verticals discover value in their process data and simplify their routine workflows using Seeq. She earned a BS in chemical engineering from the University of Arizona, and then started her career as a process engineer in petroleum refining with Valero Energy Corp. After supporting several units, she transitioned to refinery economics as an optimization engineer. Prior to joining Seeq, she managed the refinery’s planning and economics team.
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