AI-enabled Digital Twin for Plant Operational Excellence

SPEAKERS

Chauhan Nikhil Chief Strategy Officer, Lummus Digital

ABOUT THE SESSION

Nikhil Chauhan, Chief Strategy Officer at Lummus Digital, with 27 years of experience in the Energy & Chemical Industry. He’s a thought leader and speaker at international forums, and he recently shared insights at the Oil and Gas Automation & Digitalization Conference 2022. In this blog, we’ll explore his strategies on “AI-enabled Digital Twin for Plant Operational Excellence.” 
 

Nikhil Chauhan had shared his visionary insights on the concept of a “Digital Twin.” It was like a high-tech clone of a factory or plant, a digital assistant for the industry. This smart twin consisted of layers of clever tools and applications that worked together to enhance operations. What made it remarkable was its super-smart AI brain, which understood what was happening in the factory and helped it run more efficiently. It monitored operations, made real-time decisions, and even created a virtual world for training and safety. It was akin to a superhero assistant for factories, and Nikhil Chauhan led the way in demonstrating how this technology could revolutionize the industry, making it more efficient and safer. 
 

Key Topics: 
 

• Digital Technologies Dynamics: Digital technologies maturity is essential to understand the successful applications of digitalization and digital twin. Though, there are some challenges in digitalization, we bring the capability and differentiators to overcome those challenges. 
• Digital Twin as Stack of Layers: Digital Twin is a stack of layers including a Data Lake, 3D Visualization, Hybrid Models (AI + First Principle models), and Digital Applications. The interesting thing is that all layers are built on a scalable AI Platform so that everything is integrated and modular. 
• Applications and Value Proposition of Digital Twin: The Digital Twin consists of one or multiple applications depending on the operator’s needs. These applications can be remote performance monitoring, real-time optimization, process or asset performance prediction, and AR/ VR for maintenance and turnaround planning, safety, training, etc. 
   

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