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April 2, 2025 35 mins

AI is transforming oil and gas, but not all AI is created equal. Many companies have wasted millions on failed AI projects, chasing optimization without real breakthroughs. But what if AI could think like a scientist—applying physics and chemistry to accelerate decision-making and innovation?

In this episode, TC Zoboroski, Head of Sales for Energy at NobleAI, explains how their science-based AI is reshaping everything from production forecasting to molecular design. Unlike traditional generative AI, which relies on pattern recognition, NobleAI operates on scientific principles, enabling faster, more accurate results for R&D, product development, and enhanced oil recovery.

TC shares fascinating use cases where AI has cut R&D timelines from decades to months, optimized drilling decisions, and even created new chemical formulations in real-time. We also discuss why AI skepticism is still strong in oil and gas, how to overcome it, and why AI should be seen as a force multiplier, not a job threat.


About the Guest

TC Zoboroski is the Head of Sales for Energy at NobleAI, a company specializing in science-based artificial intelligence for industries like oil & gas, materials science, and biotech. With a background in technology and experience at Halliburton, Dell, AWS, and Exxon, TC brings deep insight into how AI can bridge the gap between traditional energy challenges and cutting-edge digital solutions.

Connect with TC and NobleAI:

🔹 Company Website: NobleAI

🔹 LinkedIn: TC Zoboroski


Additional Tools & Resources:

🚀 Go backstage and check out my studio: My Studio

📖 Read my blog on AI in oil and gas: Digital Oil and Gas

🎙 More podcast episodes: Digital Innovations in Oil and Gas


Connect with Me:

🌎 Website: GeoffreyCann.com

📧 Newsletter: Subscribe Here

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