From Computer Vision to Oil & Gas Revolution | Empirical Energy Podcast
A Producer's Journey to Empirical Gas | Empirical Energy Podcast
Discover how CleanConnect.ai is solving the massive data problem plaguing the oil and gas industry, why emission factors are fundamentally flawed, and how their technology enables producers to get premiums for truly clean energy production.
Explore how PureWest Energy's transformation from traditional commodity gas to empirical natural gas represents a seismic shift in how the energy industry approaches carbon verification and trading.
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Inside this episode
Join CleanConnect’s co-founders as they share the remarkable origin story of Empirical Energy, from sitting in a hot tub during oil field layoffs to revolutionizing how the energy industry measures and trades clean natural gas.
David reveals how CleanConnect.ai built their first proof of concept in just 90 days and scaled from a single camera detecting fugitive emissions to a comprehensive platform that’s changing how energy is measured, verified, and traded.
Learn how:
- Computer vision and AI can automate leak detection and reduce the need for dangerous nighttime field visits
- Empirical measurement enables a 40% carbon reduction for data centers switching from default factors
- Book-and-claim trading allows clean gas premiums while physical infrastructure develops
- Vertical integration reduces complexity and costs compared to multiple vendor solutions
- Blending empirical natural gas with RNG can create net-zero fuel products
David Conley
CEO & Co-founder, CleanConnect.ai
David leads CleanConnect.ai with a mission to transform energy operations through AI-powered emissions monitoring.
With a background in software engineering and AI development, David blends technical vision with business execution.
He believes that the future of energy must be smarter and cleaner — and that CleanConnect.ai can help lead the way.
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