Michelle Wicmandy - DBA
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Next-gen digital twins: automating model lifecycle management

Next-gen digital twins: automating model lifecycle management

by Soni Malik, Michelle Wicmandy | Apr 9, 2026 | Industry & Technical Publications

As refinery operations become more integrated and data-intensive, maintaining accurate digital twins has become increasingly difficult. Model drift—driven by feed variability, equipment changes, and data quality issues—can erode optimisation performance, increase...
From Design to Operational Reliability

From Design to Operational Reliability

by Jagadesh Donepudi, Michelle Wicmandy | Mar 23, 2026 | Industry & Technical Publications

Green hydrogen projects are often designed around static assumptions, even though they operate within highly dynamic energy systems. Variability in renewable power, electrolyser cycling, storage constraints, and downstream demand can create operational conditions that...
From Emissions Reporting to Operational Governance

From Emissions Reporting to Operational Governance

by Carlos Ruiz, Nicolas Carrara, Michelle Wicmandy | Mar 15, 2026 | Industry & Technical Publications

Emissions reporting is shifting from a compliance exercise to an operational governance challenge. As sustainability disclosure requirements expand worldwide, refiners face increasing pressure to produce emissions data that is timely, auditable, traceable, and...
A Marathon Not A Spring

A Marathon Not A Spring

by Sanjay Bhargava, Michelle Wicmandy | Dec 23, 2025 | Industry & Technical Publications

Refining is entering an era where competitiveness depends less on expansion and more on operational discipline, digital integration, and sustained performance improvement. As margins tighten and decarbonization pressures increase, refiners are being challenged to...
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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