Michelle Wicmandy - DBA
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AI-driven autonomy cuts energy use, emissions, and operator burden

AI-driven autonomy cuts energy use, emissions, and operator burden

by Jagadesh Donepudi, Michelle Wicmandy, Nitin Soni, Hiroaki Kanokogi | Sep 19, 2025 | Industry & Technical Publications

As refineries face increasing complexity, ageing control systems, and growing sustainability pressures, traditional control methods are struggling to keep pace. Static models and manual tuning often fall short in dynamic, non-linear environments, limiting both...
Digital twin corrosion monitoring for CDU overhead systems

Digital twin corrosion monitoring for CDU overhead systems

by Jagadesh Donepudi, Michelle Wicmandy, Ashok Pathak | Jul 19, 2025 | Industry & Technical Publications

Refineries are operating in a more complex and variable environment, where flexibility introduces new forms of risk. As crude slates expand, traditional methods of assessing compatibility struggle to keep pace. This article explores how thermodynamic modeling enables...
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