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Full Closed Loop AI/ML automation of the DCS towards SOx control in the crude oil refinery.

Amit Gupta

Machine Learning Lead at HPCL-Mittal Energy Limited

Session description
Amit Gupta, formerly the Machine Learning Lead at HPCL-Mittal Energy Limited, brings over a decade of expertise in optimizing Oil Refinery operations with AI/ML solutions. With a Ph.D. in Chemical Engineering, Gupta excels in maximizing efficiency and minimizing waste through AI-driven insights. He will share his views on Full Closed Loop AI/ML automation of the DCS towards SOx control in the crude oil refinery at the Oil & Gas Digital Transformation conference 2024.

Amit Gupta is set to share his groundbreaking insights on the implementation of 100% Closed Loop AI/ML in manufacturing, marking a pioneering achievement with a filed patent. This innovative approach involves fully customizable AI/ML models that train and provide real-time set points to the Distributed Control System (DCS). The anticipated benefits of this approach are substantial, including a projected 10% reduction in chemical consumption and an impressive 90% reduction in SOx deviations. Attendees can expect to gain valuable insights into the transformative potential of AI/ML in optimizing manufacturing processes and driving significant efficiency improvements.
Key Topics
  • 100% Closed Loop AI/ML implementation in manufacturing as first of its kind in the World with Patent filed
  • Fully customizable AI/ML model trains & provides set point to DCS in real time
  • Benefits achieved are 10% reduction in chemical consumption & 90% reduction SOx deviations


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