Enovate Ai: Why Physics Still Matters for AI in Oil & Gas | Camilo Mejia | CrowdField Podcast EP12

In this episode of O&G AI: Builders, Agents & Workflows, I sit down with Camilo Mejia, CEO at Enovate Ai. We dig into why generic AI models on their own struggle in oil and gas operations, and why combining AI with physics-based engineering intelligence is becoming the real foundation for trustworthy decision-making in subsurface and operational workflows. Camilo explains how hybrid intelligence can: Combine physics models, real-time data, machine learning, LLMs, and agents into one decision layer Use LLMs and agents as orchestration layers across engineering workflows, not standalone tools Support faster, more reliable operational decisions through physical grounding Automate interpretation and surface insights for operational teams Connect disciplines and accelerate collaboration across the asset team Turn trusted domain knowledge and proprietary context into a real competitive edge This episode is for reservoir, drilling, production, and digital teams thinking seriously about where AI fits inside real engineering workflows. You'll see why the winning stack is not just an LLM, but physics models, integrated data streams, and the operational context that surrounds them. Hosted by Alan Mourgues, Founder at CrowdField. --- 🔧 Follow CrowdField on LinkedIn for tools, insights, and practical O&G workflows you can actually use:   / crowdfield   🌐 Explore CrowdField for more tools and products built for subsurface professionals: https://www.crowdfield.net/ 🔔 Please give us a hand by subscribing to the channel. You'll get notified when new content drops.