Refinery operators are increasingly using digital-twin platforms, combining real-time sensor data, historical process analytics, and predictive models to optimise unit operations. The latest wave of systems links feedstock quality, downstream yield forecasting, and turnaround scheduling within a dynamic modelling environment.

Operators using digital twins report 10-15% higher throughput stability and 8-12% lower unplanned downtime. The technology enables refineries to respond rapidly to crude-quality changes, maintenance windows, and product-demand shifts—critical in tight-margin markets. As feedstock diversity expands and market volatility intensifies, digital-twin models emerge as a foundational tool for “smart refining” and agile operations.