Digital Twin Technology Meets AI: Real-Time Optimization in Oil & Gas

Digital twin technology is evolving rapidly, and when combined with artificial intelligence, it is starting to reshape how oil and gas operations are run in real time.

For years, companies have relied on simulation tools to design and test assets, but these tools are slow and limited to planning use. In this episode, we explore how new approaches are closing the gap between simulation and real-world operations, enabling faster and more accurate decisions.

I speak with Greg Fallon, CEO of Geminus AI, about how combining physics-based models with machine learning creates a new decision layer for industrial systems. This allows operators to simulate thousands of scenarios in seconds and improve production without new capital investment.

We also discuss real-world applications in refineries, oilfields, and LNG facilities, where companies are seeing measurable gains in efficiency, output, and reliability. The conversation explores the shift toward autonomous operations, where AI supports or even makes decisions in complex industrial environments.

Looking ahead, this technology opens the door to system-wide optimization, connecting assets across the value chain and helping companies operate closer to their true potential.

#oilandgas #digitaltwin #artificialintelligence

👤 About The Guest

Greg Fallon is the CEO of Geminus AI, a company focused on advancing digital twin technology through the integration of physics-based simulation and artificial intelligence.

Greg is a mechanical engineer by training and spent much of his early career at Ansys, where he worked on advanced simulation technologies for industrial applications. He later led the global manufacturing product portfolio at Autodesk, expanding his experience across multiple industries.

At Geminus, Greg is focused on enabling real-time operational decision-making by embedding AI into simulation models, helping industrial companies improve performance, efficiency, and reliability across complex systems.

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The views expressed in this podcast are my own and do not constitute professional advice.