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...
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...
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...
by Asok Tharanivasan, Michelle Wicmandy | Apr 19, 2025 | Industry & Technical Publications
As global crude oil demand continues to rise, refiners are increasingly turning to opportunity crudes to optimize margins and maintain flexibility. While economically attractive, these crudes introduce significant variability in composition and behavior—making crude...
