Reconnecting AI to Reality: How Process Analysers Enable the Intelligent, Flexible and Low-Carbon Refinery

In his session, “Reconnecting AI to Reality: How Process Analysers Enable the Intelligent, Flexible and Low-Carbon Refinery,” Gregory Shahnovsky examines how real-time process measurements can provide the trusted foundation required for industrial AI. The session explores how process analysers, digital twins, predictive models, and deep reinforcement learning can connect AI recommendations with actual refinery conditions, enabling more adaptive optimisation, improved efficiency, consistent product quality, and lower-emission operations.