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<rss version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>The Empirical Energy Podcast</title><description><![CDATA[<h2>The Empirical Energy Podcast: Unveiling the Verified Energy Revolution</h2><p>Welcome to The Empirical Energy Podcast, where we blow open the silent revolution rewriting the rules of global energy markets. Measured, verified energy is no longer an alternative—it's becoming the gold standard. This groundbreaking series takes you inside the raw mechanics of how verification technologies and blockchain-fueled trading are dismantling old systems and creating a future where empirical energy doesn't just compete, it dominates.</p><h2>Why Listen to The Empirical Energy Podcast?</h2><p>The energy industry is experiencing its most dramatic transformation in decades. Traditional trading models are giving way to verified, transparent systems that reward measurable sustainability and authentic carbon reduction. The Empirical Energy Podcast showcases the producers, traders, consultants, and industry renegades driving this seismic shift, revealing how verification standards and cutting-edge technologies are creating unprecedented opportunities in energy markets.</p><p>Our podcast is essential listening for energy professionals, investors, and sustainability leaders who want to master blockchain-verified trading, capitalize on premium pricing for certified commodities, implement MMRV technologies, navigate evolving regulatory landscapes, scale empirical energy solutions, and position themselves at the forefront of the energy transition.</p><h2>What to Expect from Each Episode</h2><p>Every episode delivers insider perspectives from the pioneers reshaping energy markets. Our diverse guest roster spans the entire empirical energy ecosystem, from C-suite executives at leading energy producers to traders at global trading houses, verification specialists setting industry standards, and innovation scouts connecting breakthrough technologies with market opportunities.</p><p><strong>Featured Topics Include:</strong> Blockchain-verified energy trading and transparent transaction systems, premium pricing strategies for measured commodities, MMRV technologies and AI-powered verification platforms, carbon-neutral certification standards and pathways, regulatory trends driving empirical measurement adoption, alternative energy market valuation models, trading desk adaptation to certified molecules, and scaling solutions for empirical energy markets.</p><p><strong>Personal Leadership Insights:</strong> Career journeys in the evolving energy sector, decision-making frameworks for high-stakes energy investments, overcoming industry challenges and market disruptions, building teams that bridge traditional energy and emerging technologies, and the strategic mindset required to lead during energy transformation.</p><h2>Who You'll Hear From</h2><ul><li><strong>C-Suite Executives</strong> from leading energy producers driving verified energy initiatives</li><li><strong>Global Energy Traders</strong> and LNG Desk Heads specializing in certified molecules</li><li><strong>Production Operations Leaders</strong> implementing MMRV technologies at scale</li><li><strong>Origination Managers</strong> scouting and structuring empirical energy deals</li><li><strong>Verification Specialists</strong> and Technical Directors overseeing ISO and ISCC audits</li><li><strong>Carbon Market Analysts</strong> tracking premium pricing and market dynamics</li><li><strong>Energy Transition Authors</strong> and industry thought leaders</li><li><strong>Innovation Scouts</strong> connecting breakthrough technologies with market applications</li></ul><p>Whether you're an energy executive navigating market transformation, a trader adapting to certified commodities, or an investor seeking opportunities in verified energy markets, The Empirical Energy Podcast delivers the insider knowledge and strategic insights you need to thrive in the empirical energy revolution.</p>]]></description><itunes:image href="https://feeds.podetize.com/ZbNiAWqvZ.png"></itunes:image><language>en-us</language><itunes:category text="Business"><itunes:category text="Entrepreneurship"></itunes:category></itunes:category><itunes:category text="Business"><itunes:category text="Management"></itunes:category></itunes:category><itunes:category text="Technology"></itunes:category><itunes:explicit>false</itunes:explicit><itunes:author>Mark Smith</itunes:author><link></link><itunes:owner><itunes:name>Mark Smith</itunes:name><itunes:email>joana.cruz@podetize.org</itunes:email></itunes:owner><itunes:type>episodic</itunes:type><copyright>Copyright 2025 | All Rights Reserved </copyright><item><title>Updates in Visual AI Gas Detection | Jae Yoon Chung | Empirical Energy | EP 116</title><enclosure url="https://feeds.podetize.com/ep/YgDgm9UQO/media/BFWyASqjO.mp3" length="28268181" type="audio/mpeg"></enclosure><guid isPermaLink="false">YgDgm9UQO</guid><pubDate>Tue, 20 Jan 2026 18:00:00 GMT</pubDate><itunes:duration>1167</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><span style="color: rgb(13, 13, 13);">🎙️ Revolutionizing Gas Leak Detection with Visual AI &amp; Machine Learning</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">In this episode of </span><strong style="color: rgb(13, 13, 13);">The Empirical Energy Podcast</strong><span style="color: rgb(13, 13, 13);">, host </span><strong style="color: rgb(13, 13, 13);">Mark Smith</strong><span style="color: rgb(13, 13, 13);"> sits down with </span><strong style="color: rgb(13, 13, 13);">Jae Yoon Chung</strong><span style="color: rgb(13, 13, 13);">, Machine Learning Engineer at Clean Connect, to explore how </span><strong style="color: rgb(13, 13, 13);">visual AI is transforming gas leak detection in the energy industry</strong><span style="color: rgb(13, 13, 13);">.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">Jae breaks down the real-world challenges of detecting methane and gas leaks using vision-based models — especially in harsh outdoor environments with wind, rain, snow, and limited edge-device compute. He introduces a breakthrough approach called </span><strong style="color: rgb(13, 13, 13);">channel stacking</strong><span style="color: rgb(13, 13, 13);">, a method that captures gas movement using just three consecutive frames to dramatically improve detection accuracy while reducing computational load and false alarms.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">The conversation goes beyond theory, offering a behind-the-scenes look at how AI models are trained, optimized, and deployed at the edge — and where the technology is headed next. From </span><strong style="color: rgb(13, 13, 13);">edge computing</strong><span style="color: rgb(13, 13, 13);"> to </span><strong style="color: rgb(13, 13, 13);">large language models (LLMs)</strong><span style="color: rgb(13, 13, 13);"> and </span><strong style="color: rgb(13, 13, 13);">object-level incident classification</strong><span style="color: rgb(13, 13, 13);">, this episode highlights how AI, blockchain, and verification are reshaping the future of global energy markets.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">⚡ </span><strong style="color: rgb(13, 13, 13);">If you work in energy, AI, emissions monitoring, or industrial technology, this episode is a must-listen.</strong></p><p><br></p><p><span style="color: rgb(13, 13, 13);">⏱️ Episode Chapters</span></p><p><span style="color: rgb(13, 13, 13);">00:00 – Introduction to The Empirical Energy Podcast</span></p><p><span style="color: rgb(13, 13, 13);"> 00:57 – Meet the Guest: Jae Yoon Chung from Clean Connect</span></p><p><span style="color: rgb(13, 13, 13);"> 01:39 – Machine Learning Challenges in Energy Environments</span></p><p><span style="color: rgb(13, 13, 13);"> 03:44 – Innovations in Visual Gas Leak Detection</span></p><p><span style="color: rgb(13, 13, 13);"> 07:29 – Technical Deep Dive: Channel Stacking Explained</span></p><p><span style="color: rgb(13, 13, 13);"> 14:23 – The Future of Visual AI &amp; LLM Integration</span></p><p><span style="color: rgb(13, 13, 13);"> 18:53 – Final Thoughts &amp; Call to Action</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">🎧 Listen &amp; Watch</span></p><p><span style="color: rgb(13, 13, 13);">▶️ </span><strong style="color: rgb(13, 13, 13);">YouTube:</strong><span style="color: rgb(13, 13, 13);">  </span><a href="https://youtu.be/WOejlQSdr_g" rel="noopener noreferrer" target="_blank" style="color: rgba(26,98,255,var(--O42jJQ,1));">https://youtu.be/WOejlQSdr_g</a></p><p><span style="color: rgb(13, 13, 13);">🎙 </span><strong style="color: rgb(13, 13, 13);">Apple Podcasts:</strong><span style="color: rgb(13, 13, 13);"> </span><a href="https://podcasts.apple.com/us/podcast/the-empirical-energy-podcast/id1822839881" rel="noopener noreferrer" target="_blank" style="color: rgb(26, 98, 255);">https://podcasts.apple.com/us/podcast/the-empirical-energy-podcast/id1822839881</a></p><p><br></p><p><span style="color: rgb(13, 13, 13);">💬 If this episode sparked new ideas or questions, join the conversation.</span></p><p><span style="color: rgb(13, 13, 13);"> 👉 Subscribe, rate the show, and share this episode with someone working in </span><strong style="color: rgb(13, 13, 13);">energy, AI, or climate tech</strong><span style="color: rgb(13, 13, 13);">.</span></p><p><span style="color: rgb(13, 13, 13);"> 👉 Drop a comment and tell us: </span><em style="color: rgb(13, 13, 13);">Where do you see the biggest opportunity for AI in energy today?</em></p><p><br></p><p><span style="color: rgb(13, 13, 13);">#EmpiricalEnergyPodcast #VisualAI #MethaneDetection</span></p><p><span style="color: rgb(13, 13, 13);"> #MachineLearning #EdgeAI #EnergyTech</span></p><p><span style="color: rgb(13, 13, 13);"> #ClimateTech #IndustrialAI #ComputerVision</span></p>]]></description><itunes:image href="https://feeds.podetize.com/xpahIm-6p.png"></itunes:image><itunes:season>1</itunes:season><itunes:episode>116</itunes:episode></item><item><title>Empirical Energy: The Silent Revolution in Global Energy Markets | Thomas Fox | Empirical Energy | EP 115</title><enclosure url="https://feeds.podetize.com/ep/ge5ZMpkW7/media/3u5_Spo0m.mp3" length="42968003" type="audio/mpeg"></enclosure><guid isPermaLink="false">ge5ZMpkW7</guid><pubDate>Tue, 06 Jan 2026 18:00:00 GMT</pubDate><itunes:duration>1783</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><span style="color: rgb(13, 13, 13);">Uncovering the Future of Methane Emissions Management with Thomas Fox</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">In this episode of </span><strong style="color: rgb(13, 13, 13);">The Empirical Energy Podcast</strong><span style="color: rgb(13, 13, 13);">, host </span><strong style="color: rgb(13, 13, 13);">Mark Smith</strong><span style="color: rgb(13, 13, 13);"> welcomes </span><strong style="color: rgb(13, 13, 13);">Thomas Fox</strong><span style="color: rgb(13, 13, 13);">, President of Highwood Emissions, to unpack the mechanisms reshaping global energy markets.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">The conversation explores the industry’s shift from “alternative energy” toward </span><strong style="color: rgb(13, 13, 13);">measured, verified energy</strong><span style="color: rgb(13, 13, 13);"> as the new gold standard—powered by empirical data, evolving regulations, and emerging verification frameworks. Thomas shares his journey from PhD research in methane emissions to building Highwood Emissions and launching the </span><strong style="color: rgb(13, 13, 13);">Emissions Intelligence Platform (EIP)</strong><span style="color: rgb(13, 13, 13);">, a software solution designed to help operators create </span><strong style="color: rgb(13, 13, 13);">measurement-informed inventories</strong><span style="color: rgb(13, 13, 13);"> at scale.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">Together, they dive into the realities of methane reporting: reconciliation challenges, OGMP Level 5 requirements, EPA and Colorado regulatory approvals, and why harmonization across global reporting frameworks remains one of the industry’s biggest hurdles. The episode closes with a forward-looking discussion on how collaboration, technology, and credible data may finally unlock real market incentives for low-methane energy.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">🎧 </span><strong style="color: rgb(13, 13, 13);">If you work in energy, ESG, emissions reporting, or climate compliance, this episode offers a clear look at where the industry is heading—and what it will take to get there.</strong></p><p><br></p><p><span style="color: rgb(13, 13, 13);">⏱️ Episode Chapters</span></p><p><span style="color: rgb(13, 13, 13);">00:00 Introduction to the Empirical Energy Podcast</span></p><p><span style="color: rgb(13, 13, 13);"> 00:55 Meet Thomas Fox: Highwood Emissions</span></p><p><span style="color: rgb(13, 13, 13);"> 02:51 The Journey to Methane Mitigation</span></p><p><span style="color: rgb(13, 13, 13);"> 04:54 Building Measurement-Informed Inventories</span></p><p><span style="color: rgb(13, 13, 13);"> 08:27 Challenges and Innovations in Methane Reporting</span></p><p><span style="color: rgb(13, 13, 13);"> 18:34 The Future of Emissions Reporting</span></p><p><span style="color: rgb(13, 13, 13);"> 25:02 Closing Thoughts and Call to Action</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">✔️ </span><strong style="color: rgb(13, 13, 13);">Listen to the full episode</strong><span style="color: rgb(13, 13, 13);"> to understand how methane measurement is evolving</span></p><p><span style="color: rgb(13, 13, 13);"> ✔️ </span><strong style="color: rgb(13, 13, 13);">Subscribe</strong><span style="color: rgb(13, 13, 13);"> to the Empirical Energy Podcast for more conversations at the intersection of energy, AI, and climate policy</span></p><p><span style="color: rgb(13, 13, 13);"> ✔️ </span><strong style="color: rgb(13, 13, 13);">Share this episode</strong><span style="color: rgb(13, 13, 13);"> with colleagues navigating methane reporting, OGMP, or ESG compliance</span></p><p><span style="color: rgb(13, 13, 13);"> ✔️ </span><strong style="color: rgb(13, 13, 13);">Join the discussion</strong><span style="color: rgb(13, 13, 13);">—what do you think will finally drive harmonized emissions reporting?</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">#EmpiricalEnergy #MethaneEmissions #EnergyTransition #OGMP #ClimateReporting #EnergyMarkets #OilAndGas #ESG #CarbonAccounting #Decarbonization #ClimateTech #EnergyPolicy #LowMethaneGas #Sustainability</span></p>]]></description><itunes:image href="https://feeds.podetize.com/0ftVv4zwv.png"></itunes:image><itunes:season>1</itunes:season><itunes:episode>115</itunes:episode></item><item><title>Using AI Digital Twins to Scale Empirical Energy | Zach Oremland | Empirical Energy | EP 114</title><enclosure url="https://feeds.podetize.com/ep/umbY6iThK/media/QDdzg7gzf.mp3" length="31036323" type="audio/mpeg"></enclosure><guid isPermaLink="false">umbY6iThK</guid><pubDate>Tue, 23 Dec 2025 18:00:00 GMT</pubDate><itunes:duration>1283</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><span style="color: rgb(13, 13, 13);">In this episode of the </span><strong style="color: rgb(13, 13, 13);">Empirical Energy Podcast</strong><span style="color: rgb(13, 13, 13);">, host </span><strong style="color: rgb(13, 13, 13);">Mark Smith</strong><span style="color: rgb(13, 13, 13);"> sits down with </span><strong style="color: rgb(13, 13, 13);">Zach Orlin of Clean Connect.ai</strong><span style="color: rgb(13, 13, 13);"> to explore how </span><strong style="color: rgb(13, 13, 13);">digital twins, AI, blockchain, and verification technologies</strong><span style="color: rgb(13, 13, 13);"> are redefining how energy is measured, monitored, and managed.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">The conversation dives deep into </span><strong style="color: rgb(13, 13, 13);">Luminary</strong><span style="color: rgb(13, 13, 13);">, a digital twin platform that enables teams to virtually map energy sites, plan monitoring equipment placement, and integrate real-time data into operational models </span><em style="color: rgb(13, 13, 13);">before</em><span style="color: rgb(13, 13, 13);"> anything is deployed in the field. Zach explains how Luminary connects with </span><strong style="color: rgb(13, 13, 13);">Promax process simulation models</strong><span style="color: rgb(13, 13, 13);">, remote monitoring systems, and verification frameworks to reduce costs, improve efficiency, and eliminate blind spots in energy operations.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">This episode also explores what’s next—from </span><strong style="color: rgb(13, 13, 13);">augmented reality overlays</strong><span style="color: rgb(13, 13, 13);"> to smarter, more empirical energy markets where measurement, transparency, and real-time intelligence become the new standard.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">If you’re working in </span><strong style="color: rgb(13, 13, 13);">energy, infrastructure, emissions monitoring, or digital transformation</strong><span style="color: rgb(13, 13, 13);">, this episode offers a clear look at how legacy systems are being replaced by data-driven, verifiable solutions.</span></p><p><br></p><p><strong style="color: rgb(13, 13, 13);">⏱ Episode Chapters</strong></p><p><span style="color: rgb(13, 13, 13);"> 00:00 Introduction to Empirical Energy</span></p><p><span style="color: rgb(13, 13, 13);"> 00:44 Meet Zach Orlin (Clean Connect.ai)</span></p><p><span style="color: rgb(13, 13, 13);"> 02:23 Digital Twins &amp; the Luminary Platform</span></p><p><span style="color: rgb(13, 13, 13);"> 05:05 Virtual Site Mapping &amp; Monitoring Design</span></p><p><span style="color: rgb(13, 13, 13);"> 11:11 Advanced Capabilities &amp; Future Applications</span></p><p><span style="color: rgb(13, 13, 13);"> 18:13 Empirical Energy’s Broader Impact &amp; Wrap-Up</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">🎧 Subscribe for conversations on </span><strong style="color: rgb(13, 13, 13);">energy verification, AI, blockchain, and the future of global energy markets</strong><span style="color: rgb(13, 13, 13);">.</span></p><p><br></p><p><span style="color: rgb(13, 13, 13);">#EmpiricalEnergy #DigitalTwins #EnergyTechnology #EnergyInnovation  #AIinEnergy #BlockchainEnergy #EnergyMarkets #RealTimeMonitoring  #EnergyManagement #CleanTech #IndustrialAI #EnergyTransition #OperationalIntelligence</span></p>]]></description><itunes:image href="https://feeds.podetize.com/7Tj95ad-V.png"></itunes:image><itunes:season>1</itunes:season><itunes:episode>114</itunes:episode></item><item><title>Revolutionizing Energy: Empowering Markets with Empirical Data | Deb Ryan | Empirical Energy | EP 113</title><enclosure url="https://feeds.podetize.com/ep/l40ElAZoG/media/uqIDs-GKF.mp3" length="36622968" type="audio/mpeg"></enclosure><guid isPermaLink="false">l40ElAZoG</guid><pubDate>Tue, 09 Dec 2025 18:00:00 GMT</pubDate><itunes:duration>1517</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><br></p><p>In this episode of the Empirical Energy Podcast, host Mark Smith is joined by Deb Ryan from Geo Financial to discuss the seismic shift in global energy markets. They dive deep into how verification via blockchain, coupled with AI, is reshaping energy systems. Deb shares insights on her background, the methane performance certificates, and the integration of satellite data with real-time monitoring to achieve market solutions. This rich conversation touches on the evolving role of methane detection, the synergy between different technologies, and the economic drivers for emission reduction, while also offering a preview of how data fidelity is revolutionizing the industry. Tune in to find out how companies can leverage these innovative solutions for a sustainable future. </p><p><br></p><p>00:00 Introduction to the Empirical Energy Podcast </p><p>00:45 Meet Deb Ryan from Geo Financial </p><p>01:05 Navigating Carbon: Deb's Podcast and Background </p><p>01:40 Methane Performance Certificates and S&amp;P Global </p><p>04:32 Challenges in Methane Detection and Solutions </p><p>05:16 Geo Financial's Satellite Data and Methane Detection </p><p>07:37 Combining Satellite and Ground Data for Better Accuracy </p><p>19:28 Market Solutions and Certified Natural Gas </p><p>21:31 The Future of Energy Trading and EACs </p><p>24:40 Conclusion and Call to Action</p><p><br></p><p><span style="color: rgb(0, 0, 0);">Don’t forget to:</span></p><p><span style="color: rgb(0, 0, 0);"> 👍 Like this if energy markets matter to your world</span></p><p><span style="color: rgb(0, 0, 0);"> 🔔 Subscribe to follow the people shaping the future of energy</span></p><p><span style="color: rgb(0, 0, 0);"> 💬 Share your biggest insight—traders and operators learn from each other</span></p><p><span style="color: rgb(0, 0, 0);"> 🔗 Pass this to someone who works behind the scenes of our energy system</span></p><p><br></p><p>#EnergyMarkets </p><p> #MethaneMonitoring</p><p> #ClimateTech</p><p> #CarbonMarkets</p><p> #EnergyTransition</p><p> #BlockchainEnergy</p><p> #AIinEnergy</p><p> #VerifiedEnergy</p><p> #CertifiedGas</p><p> #MethaneReduction</p>]]></description><itunes:image href="https://feeds.podetize.com/l7Yzjwiqw.png"></itunes:image><itunes:season>1</itunes:season><itunes:episode>113</itunes:episode></item><item><title>NatGas Millions With Empirical Gas | Jay Bhatty | Empirical Energy | EP 112</title><enclosure url="https://feeds.podetize.com/ep/Vv3TUAbXr/media/XiKv0fu28.mp3" length="43006632" type="audio/mpeg"></enclosure><guid isPermaLink="false">Vv3TUAbXr</guid><pubDate>Tue, 25 Nov 2025 18:00:00 GMT</pubDate><itunes:duration>1784</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><span style="color: rgb(0, 0, 0);">Gas scheduling, pipeline data, arbitrage, LNG globalization, AI-powered tariffs, and the rapid shift toward reliable low-carbon fuel — this conversation with Jay Bhatty shines a light on how the natural gas market is being rewritten from the inside out.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Jay shares his path from Enron to building NatGasHub into a core scheduling platform for North America, why data is the real commodity traders fight over, and how AI data centers are quietly reshaping the future of energy reliability.</span></p><p><br></p><p><strong style="color: rgb(0, 0, 0);">Key Discussion Points</strong></p><ul><li><span style="color: rgb(0, 0, 0);">00:00 – Opening: the silent revolution in verified energy</span></li><li><span style="color: rgb(0, 0, 0);">00:44 – Jay’s journey: India → Ohio → Enron</span></li><li><span style="color: rgb(0, 0, 0);">02:25 – Early lessons from Enron alumni &amp; top-tier traders</span></li><li><span style="color: rgb(0, 0, 0);">04:10 – Electricity shortages and why energy became Jay’s obsession</span></li><li><span style="color: rgb(0, 0, 0);">05:18 – The pain point that sparked NatGasHub</span></li><li><span style="color: rgb(0, 0, 0);">06:52 – Turning 50 pipeline websites into one streamlined platform</span></li><li><span style="color: rgb(0, 0, 0);">08:40 – Why empirical pipeline data gives traders an edge</span></li><li><span style="color: rgb(0, 0, 0);">10:22 – Automation: from whiteboards to real-time digital scheduling</span></li><li><span style="color: rgb(0, 0, 0);">12:15 – Arbitrage opportunities and information asymmetry</span></li><li><span style="color: rgb(0, 0, 0);">14:10 – The motivation behind </span><em style="color: rgb(0, 0, 0);">Nat Gas Millions</em></li><li><span style="color: rgb(0, 0, 0);">15:55 – What new traders misunderstand about the physical market</span></li><li><span style="color: rgb(0, 0, 0);">17:48 – “All the money is made in the margins” — real trading war stories</span></li><li><span style="color: rgb(0, 0, 0);">19:35 – How geopolitical shocks hit energy markets</span></li><li><span style="color: rgb(0, 0, 0);">20:48 – LNG and the rise of natural gas as a global commodity</span></li><li><span style="color: rgb(0, 0, 0);">22:36 – AI data centers and the real priorities behind their power demand</span></li><li><span style="color: rgb(0, 0, 0);">24:18 – Why big tech is turning toward natural gas infrastructure</span></li><li><span style="color: rgb(0, 0, 0);">25:52 – The challenge of tracking low-carbon gas molecules</span></li><li><span style="color: rgb(0, 0, 0);">27:05 – Advice for new traders on mastering risk</span></li><li><span style="color: rgb(0, 0, 0);">28:20 – Using AI to decode 500-page pipeline tariffs</span></li><li><span style="color: rgb(0, 0, 0);">29:10 – Where to find Jay’s book &amp; how to work with NatGasHub</span></li><li><br></li></ul><p><span style="color: rgb(0, 0, 0);">If you're in trading, infrastructure, energy technology, or you're trying to understand how physical markets actually work, this episode gives you the “behind the curtain” view.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Don’t forget to:</span></p><p><span style="color: rgb(0, 0, 0);"> 👍 Like this if energy markets matter to your world</span></p><p><span style="color: rgb(0, 0, 0);"> 🔔 Subscribe to follow the people shaping the future of energy</span></p><p><span style="color: rgb(0, 0, 0);"> 💬 Share your biggest insight—traders and operators learn from each other</span></p><p><span style="color: rgb(0, 0, 0);"> 🔗 Pass this to someone who works behind the scenes of our energy system</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">#EnergyTrading #NaturalGas #AIandEnergy #EnergyTech #LNG #CommodityTrading #NatGasHub #PipelineData #DataCenters #EmpiricalEnergy #LowCarbonEnergy #EnergyInfrastructure</span></p>]]></description><itunes:image href="https://feeds.podetize.com/zAeYOLk6E.png"></itunes:image><itunes:episode>112</itunes:episode></item><item><title>Tokenizing EAC&apos;s for LNG | Brad Handler | Empirical Energy | EP 111</title><enclosure url="https://feeds.podetize.com/ep/AU9YcpRp7/media/rWqrmIiyM.mp3" length="60649696" type="audio/mpeg"></enclosure><guid isPermaLink="false">AU9YcpRp7</guid><pubDate>Tue, 11 Nov 2025 18:00:00 GMT</pubDate><itunes:duration>2518</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>The energy market is entering a new era where data is currency, transparency is leverage, and trust is tokenized.</p><p><br></p><p>In this episode of The Empirical Energy Podcast, host Mark Smith speaks with Brad Handler, Program Director for the Energy Finance Lab at the Payne Institute for Public Policy, Colorado School of Mines.</p><p><br></p><p>They explore how tokenizing environmental attributes in LNG (liquefied natural gas) is creating a measurable, verifiable, and tradeable standard for global energy accountability.</p><p><br></p><p>Episode Breakdown</p><p>00:00 – Introduction</p><p>03:45 – The Payne Institute and the Energy Finance Lab</p><p>09:10 – From Research to Real-World Application</p><p>14:50 – The Rise of Tokenized LNG</p><p>22:15 – Carbon-Neutral LNG vs. Tokenized LNG</p><p>28:40 – EACs and the Blockchain Advantage</p><p>35:05 – Standards That Matter: ISO 14067, ISCC &amp; OGMP 2.0</p><p>41:30 – Market, Regulation &amp; Technology: The Balancing Act</p><p>48:20 – Building Trust in Energy Data</p><p>55:10 – The Future: EACs as the Standard</p><p>1:02:00 – Closing Thoughts</p><p><br></p><p>Energy’s next competitive edge isn’t scale—it’s proof.</p><p><br></p><p>Tune in and discover how verified data, blockchain, and policy are converging to reshape the future of energy markets.</p><p><br></p><p>#EnergyTransition #Blockchain #Tokenization #CleanEnergy #LNG #Sustainability #ClimateTech #Decarbonization #EmpiricalEnergyPodcast #CarbonMarkets</p>]]></description><itunes:image href="https://feeds.podetize.com/vQrMyBgCP.png"></itunes:image><itunes:episode>111</itunes:episode></item><item><title>The Methane Truth: How Measurement Is Rewriting Global Energy Politics | Empirical Energy | EP 110</title><enclosure url="https://feeds.podetize.com/ep/UR_D6pIzf/media/4sqlTzoW9.mp3" length="24855254" type="audio/mpeg"></enclosure><guid isPermaLink="false">UR_D6pIzf</guid><pubDate>Tue, 28 Oct 2025 17:00:00 GMT</pubDate><itunes:duration>1027</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>The silent revolution in energy has already begun — and it’s measured, not modeled.</p><p><br></p><p>In this powerful episode of The Empirical Energy Podcast, host Mark Smith sits down with Robert Kleinberg, physicist, researcher, and former Schlumberger scientist, to explore the truth behind global methane reporting — and how measurement-based verification is reshaping the world’s energy future.</p><p><br></p><p>Kleinberg exposes the startling differences between U.S. and Russian methane emission methodologies, showing how emission factors — outdated, estimated reporting tools — distort climate data, global trade, and even geopolitics.</p><p><br></p><p>As the world pushes toward verified, empirical energy, this conversation reveals the urgent need for accuracy, transparency, and data integrity across every link in the global energy chain.</p><p><br></p><p>This is more than policy — it’s a race for truth in the age of misinformation and market disruption.</p><p><br></p><p>💡 Key Takeaways</p><p><br></p><p>Emission factors are outdated — the future of energy is empirical measurement.</p><p><br></p><p>Russia’s “cleaner” data reveals flaws in global reporting, not environmental success.</p><p><br></p><p>Verified data = verified trade. Energy credibility depends on transparency.</p><p><br></p><p>Methane accuracy affects not just policy — but global economics and geopolitics.</p><p><br></p><p>Collaboration between science, industry, and policy is key to verified progress.</p><p><br></p><p>🔔 Join the Empirical Energy Movement</p><p><br></p><p>If this episode opened your eyes to the data behind the energy revolution:</p><p>✅ Subscribe to The Empirical Energy Podcast for more verified conversations</p><p>💬 Comment what you think: Should all energy reporting be measurement-based?</p><p>📢 Share this episode — truth in data starts with awareness</p><p><br></p><p>Empirical Energy — measured, verified, unstoppable. ⚡🌍</p>]]></description><itunes:image href="https://feeds.podetize.com/gYp28XuXk.png"></itunes:image><itunes:episode>110</itunes:episode></item><item><title>GenAI for Energy Executives | Empirical Energy | EP 109</title><enclosure url="https://feeds.podetize.com/ep/uCOKB8jm0/media/HAoZdGdwH.mp3" length="36137257" type="audio/mpeg"></enclosure><guid isPermaLink="false">uCOKB8jm0</guid><pubDate>Tue, 14 Oct 2025 17:00:00 GMT</pubDate><itunes:duration>1125</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Welcome to the Empirical Energy Podcast, where host Mark Smith sits down with Mehdi, author of Enterprise Gen AI for Energy Executives, to uncover how Generative AI, blockchain, and verified data are transforming the global energy industry.</p><p><br></p><p>This episode dives deep into real-world AI adoption — from C-suite strategy and data management to cultural transformation and workforce adaptation. Learn how energy leaders can identify the right AI use cases, navigate the “build vs. buy” debate, and prepare for the era of Artificial General Intelligence (AGI).</p><p><br></p><p>If you’re an energy executive, innovator, or tech strategist, this episode offers an unfiltered roadmap to the future of verified, intelligent energy.</p><p><br></p><p>&nbsp;Timestamps</p><p><br></p><p>00:00 – Welcome to the Empirical Energy Podcast: The verified energy revolution</p><p>00:33 – Meet your host, Mark Smith</p><p>00:45 – Introducing Mehdi and his book Enterprise Gen AI for Energy Executives</p><p>01:08 – The inspiration behind writing the book</p><p>01:41 – Bridging the gap between technical experts and executives</p><p>02:12 – The need for continuous learning in AI and energy</p><p>02:33 – Mehdi’s background: From robotics to oil to data-driven strategy</p><p>03:18 – How Generative AI is transforming business operations</p><p>03:39 – Why AI is no longer a luxury — it’s essential</p><p>04:27 – What executives will gain from Mehdi’s book</p><p>05:11 – Identifying the most valuable AI use cases</p><p>06:12 – How to prioritize, budget, and assess AI initiatives</p><p>07:11 – The “Build vs. Buy” dilemma for modern organizations</p><p>08:15 – Vendor partnerships, data security, and compliance challenges</p><p>09:40 – The reality of implementing AI in the energy sector</p><p>10:01 – Lessons from real projects and the “dumb tax” of innovation</p><p>10:38 – Prompt engineering, fine-tuning, and agent-based AI</p><p>11:30 – Managing fear and resistance to AI adoption</p><p>12:17 – Building a culture of learning and adaptation</p><p>13:04 – Behind the scenes: Mark and Mehdi’s “book club” collaboration</p><p>13:35 – Upcoming Energy AI Conference — join the movement</p><p>14:17 – The future: From Generative AI to AGI</p><p>15:31 – New jobs, new leadership, and managing intelligent systems</p><p>16:13 – How AI will reshape energy companies in the next 3 years</p><p>17:21 – Why every organization must embrace AI now</p><p>17:44 – Closing thoughts and gratitude</p><p>18:09 – How you can support and stay connected</p><p><br></p><p>🔔 Join the Movement</p><p><br></p><p>If this conversation sparked new ideas for you:</p><p>✅ Subscribe to the Empirical Energy Podcast</p><p>💬 Comment your biggest takeaway from this episode</p><p>📢 Share this video with your team or peers in the energy space</p>]]></description><itunes:image href="https://feeds.podetize.com/9khLgs9Os.png"></itunes:image><itunes:episode>109</itunes:episode></item><item><title>Certification Pathways for Empirical Gas | MaryBeth Clifford | Empirical Energy Podcast</title><enclosure url="https://feeds.podetize.com/ep/TcLQ-fDOP/media/1R_xJ_RqW.mp3" length="17293100" type="audio/mpeg"></enclosure><guid isPermaLink="false">TcLQ-fDOP</guid><pubDate>Tue, 30 Sep 2025 15:00:00 GMT</pubDate><itunes:duration>1081</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Discover how energy producers and traders are navigating the complex world of carbon certification to deliver verified net zero natural gas products. Host Mark Smith sits down with environmental consultant MaryBeth Clifford from Protect to explore the verification side of MMRV (monitoring, measuring, reporting, and verification) and how companies like Microsoft, AWS, and Google are moving beyond traditional carbon credits to actual net zero energy consumption.</p><p><br></p><p>Tune in inside: ISCC certification pathways, mass balance methodology, RNG blending strategies, blockchain-based environmental attribute certificates, real-time verification systems, ISO 14067 processes, LCFS compliance, empirical energy measurement, sustainability declarations, automated carbon tracking</p><p><br></p><p>Key takeaways:&nbsp;</p><p>• Major tech companies are shifting from carbon credits to direct net zero energy consumption for their sustainability goals&nbsp;</p><p>• Real-time mass balance calculations are essential for energy trading, unlike annual emissions inventory processes&nbsp;</p><p>• ISCC certification provides viable pathways for blending RNG with conventional natural gas to achieve specific carbon intensity targets&nbsp;</p><p>• Blockchain-based Environmental Attribute Certificates (EACs) eliminate double counting and provide immutable verification&nbsp;</p><p>• Monthly verification cycles enable practical trading while maintaining certification integrity&nbsp;</p><p>• Mass balance methodology aligns chemical engineering principles with certification requirements&nbsp;</p><p>• Automated data collection systems are crucial for scaling verification processes across multiple regulatory frameworks&nbsp;</p><p>• Different global regulations create complexity but ISCC is working to harmonize pathways across jurisdictions</p><p><br></p><p>00:02 Intro - Empirical Energy Podcast opening&nbsp;</p><p>00:45 Host Introduction and Guest Welcome&nbsp;</p><p>01:23 MaryBeth Clifford's Background in Oil &amp; Gas and Environmental Consulting&nbsp;</p><p>02:41 The Rise of Carbon and Sustainability Programs&nbsp;</p><p>03:49 MMRV Framework and Episode Context&nbsp;</p><p>04:42 Microsoft's Net Zero Goals and Industry Shift&nbsp;</p><p>05:52 RNG and Natural Gas Certification Pathways&nbsp;</p><p>07:02 ISCC CFR Beta Partnership and Verification Options&nbsp;</p><p>08:04 Mass Balance Requirements for Trading&nbsp;</p><p>09:18 Evolution of Carbon Intensity Pathways&nbsp;</p><p>10:24 Real-time Data Management and Monthly Verification&nbsp;</p><p>11:32 Environmental Attribute Certificates and Blockchain Integration&nbsp;</p><p>13:35 Verification Process Improvements&nbsp;</p><p>14:05 ISCC Compatibility with Various Regulatory Frameworks&nbsp;</p><p>15:58 Global Regulation Complexity and Alignment Challenges&nbsp;</p><p>17:22 Chemical Engineering Principles and Mass Balance&nbsp;</p><p>17:44 Protect's Services and Client Support&nbsp;</p><p>18:50 Outro - Call to Action</p><p><br></p><p>"We've walked a number of clients through verification processes to help them make sure that they have the data collected and then going with them to the meetings to answer the questions and get through that verification step."</p><p><br></p><p>Subscribe to the Empirical Energy Podcast for more insights on the intersection of energy, AI, and blockchain technology, and don't forget to rate and review to help us reach more industry professionals working on sustainable energy solutions.</p><p><br></p><p>#CarbonCertification #NetZeroEnergy #ISCCPathways #RNGBlending #EnergyVerification #SustainabilityCompliance #BlockchainEnergy #MassBalance #EmpiricalEnergy #CleanTech</p>]]></description><itunes:image href="https://feeds.podetize.com/Xyx2EXar_.png"></itunes:image><itunes:episode>108</itunes:episode></item><item><title>A Producers Journey to Empirical Gas | Kelly Bott | Empirical Energy Podcast</title><enclosure url="https://feeds.podetize.com/ep/BuYSmBwd7/media/qBFU-gCOy.mp3" length="23230892" type="audio/mpeg"></enclosure><guid isPermaLink="false">BuYSmBwd7</guid><pubDate>Tue, 16 Sep 2025 15:00:00 GMT</pubDate><itunes:duration>1452</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><span style="color: rgb(0, 0, 0);">Pure West 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. In this groundbreaking episode, Kelly Bott, Senior Vice President of Corporate Affairs and Sustainability at Pure West Energy, reveals the untold story of how measured, verified energy is becoming the new gold standard in global markets.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Tune in inside: empirical natural gas, verified energy trading, carbon intensity measurement, blockchain-fueled trading systems, AI data centers energy solutions, environmental attribute certificates EACs, MMRV monitoring systems, ISO 14067 mass balance certification, Wyoming energy production, Clean Connect leak detection technology</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Pure West Energy has pioneered the transition from traditional gas production to empirical natural gas, where every molecule is measured, verified, and traded based on real data rather than assumptions. This revolutionary approach is reshaping how energy companies think about production, trading, and environmental responsibility. Kelly shares the compelling journey that started with environmental compliance in Wyoming's Pinedale Anticline and evolved into a market-leading position in verified low-carbon energy.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Kelly reveals how Pure West leveraged monitoring, measurement, reporting, and verification MMRV technologies to transform their operations. Using advanced leak detection systems like Clean Connect's visualization cameras and comprehensive mass balance calculations through ProMax modeling, they achieved remarkable emission reductions while creating new revenue streams through environmental attribute certificates.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">The discussion dives deep into the technical innovations enabling empirical energy trading, including ISO 14067 certification with mass balance accounting and ISCC standards that allow for book-and-claim transactions. These frameworks enable Pure West to account for every molecule of gas and its associated emissions footprint on an MMBtu basis, creating defensible data for global trading markets.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Take away:</span></p><p><span style="color: rgb(0, 0, 0);">• Empirical natural gas represents the future of energy trading, where verification and real-time data replace industry assumptions</span></p><p><span style="color: rgb(0, 0, 0);">• Environmental attribute certificates EACs function like birth certificates for energy, tracking carbon intensity throughout the supply chain</span></p><p><span style="color: rgb(0, 0, 0);">• Mass balance methodology enables source-by-source emissions analysis, driving targeted operational improvements</span></p><p><span style="color: rgb(0, 0, 0);">• Book-and-claim systems allow global trading of environmental attributes without physical gas delivery constraints</span></p><p><span style="color: rgb(0, 0, 0);">• Premium pricing for verified low-carbon gas incentivizes continued emission reductions across the industry</span></p><p><span style="color: rgb(0, 0, 0);">• AI data centers require reliable energy solutions with verified environmental performance for their net-zero commitments</span></p><p><span style="color: rgb(0, 0, 0);">• Real-time monitoring systems enable immediate operational adjustments and continuous emission improvements</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Quote of the show: "The future that I see, and I don't think it's a stretch, this is a data-driven future. It is all about data. It is all about being able to collect, store, analyze, respond to."</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">This episode provides essential insights for energy professionals, traders, environmental consultants, and anyone interested in the intersection of energy, AI, and blockchain technology. Pure West's success demonstrates how empirical verification creates competitive advantages while driving meaningful environmental improvements.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">Subscribe to the Empirical Energy Podcast for more exclusive interviews with industry pioneers reshaping global energy markets. Like this episode and share it with colleagues who need to understand the future of verified energy trading.</span></p><p><br></p><p><span style="color: rgb(0, 0, 0);">#empiricalenergy #naturalgas #carbonintensity #energytrading #verification #blockchain #AI #datacenters #netzero #Wyoming #climatetech #energytransition #sustainability #carbonaccounting #methaneemissions #cleantech #energyinnovation #environmental</span></p>]]></description><itunes:image href="https://feeds.podetize.com/UpYoGQqgU.png"></itunes:image><itunes:episode>107</itunes:episode></item><item><title>Empirical Energy Vision| David Conley | Empirical Energy</title><enclosure url="https://feeds.podetize.com/ep/vDTFMLk_7/media/0mV-N4K6i.mp3" length="38448812" type="audio/mpeg"></enclosure><guid isPermaLink="false">vDTFMLk_7</guid><pubDate>Tue, 02 Sep 2025 15:59:00 GMT</pubDate><itunes:duration>2403</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Join Mark Smith and co-founder David Conley 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. This episode takes you behind the scenes of their journey from computer vision leak detection to creating the world's first empirically measured natural gas trading platform.</p><p><br></p><p>Tune in to discover how they're solving the massive data problem plaguing the oil and gas industry, why emission factors are fundamentally flawed, and how their technology is enabling producers to get premiums for truly clean energy production. David reveals how they 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.</p><p><br></p><p>Key topics explored include the three major causes of emission events they've identified through millions of hours of AI monitoring, the difference between book and claim versus physical energy trading, and why vertical integration is crucial for solving the complexity problem that has plagued differentiated gas programs. Learn about their partnership with traders like Gunvor and how they're creating new markets for empirical natural gas and RNG blending.</p><p><br></p><p>Take away points:&nbsp;</p><p>• The oil and gas industry relies on emission factors that can be 12 times higher than actual measured emissions&nbsp;</p><p>• Computer vision and AI can automate leak detection and reduce the need for dangerous nighttime field visits&nbsp;</p><p>• Three main emission events: cold venting, tank overpressuring, and loadout operations&nbsp;</p><p>• Empirical measurement enables 40% carbon reduction for data centers switching from default factors&nbsp;</p><p>• Book and claim trading allows clean gas premiums while physical infrastructure develops&nbsp;</p><p>• Vertical integration reduces complexity and costs compared to multiple vendor solutions&nbsp;</p><p>• Blending empirical natural gas with RNG can create net zero fuel products</p><p><br></p><p>Chapters:&nbsp;</p><p>0:00 - Intro&nbsp;</p><p>1:00 - The Hot Tub Moment: Origin Story of Empirical Energy&nbsp;</p><p>4:48 - From Computer Vision to Leak Detection Technology&nbsp;</p><p>8:15 - Remote Monitoring Revolution in Oil and Gas&nbsp;</p><p>11:20 - Three Major Types of Emission Events Discovered&nbsp;</p><p>14:40 - The Emission Factor Problem and Regulatory Issues&nbsp;</p><p>18:02 - Community Relations and Environmental Stewardship&nbsp;</p><p>20:26 - Data Integration Challenges and Solutions&nbsp;</p><p>23:54 - ISCC Certification and Trading Mechanisms&nbsp;</p><p>27:00 - Carbon Intensity Calculations and Data Center Applications&nbsp;</p><p>31:14 - Book and Claim vs Physical Trading Explained&nbsp;</p><p>34:39 - Vertical Integration Benefits and Cost Reduction&nbsp;</p><p>37:03 - Premium Pricing and Market Opportunities&nbsp;</p><p>39:28 - Outro</p><p><br></p><p>Quote of the show: "I've never seen a production facility produce an MMPTU of energy over one gram of CO2E per megajoule and they're reporting 12."</p><p><br></p><p>Ready to learn how empirical measurement is transforming energy markets? Subscribe for more insights into the intersection of AI, blockchain, and clean energy trading. Like this episode and share it with anyone interested in the future of energy verification and the technologies reshaping how we measure environmental impact.</p><p><br></p><p>#EmpiricalEnergy #CleanGas #EmissionMeasurement #OilAndGas #EnergyTrading #AI #ComputerVision #CarbonIntensity #NetZeroGas #EnergyInnovation #Blockchain #LNG #RNG #DataCenters #EnvironmentalTech</p>]]></description><itunes:image href="https://feeds.podetize.com/495Qk25qd.png"></itunes:image><itunes:episode>106</itunes:episode></item><item><title>Empirical Measurement Using Mass Balance| Jana Brodersen | Empirical Energy Podcast</title><enclosure url="https://feeds.podetize.com/ep/M8ZNiDlecj/media/e4TzOUr66.mp3" length="19896620" type="audio/mpeg"></enclosure><guid isPermaLink="false">M8ZNiDlecj</guid><pubDate>Tue, 19 Aug 2025 15:00:00 GMT</pubDate><itunes:duration>1244</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Join host Mark Smith as he dives deep with Jana Brodersen from Clean Connect to explore how mass balance calculations and digital twin technology are revolutionizing emissions monitoring and measurement in the oil and gas industry. This episode unpacks the technical foundations behind modern energy verification systems.</p><p>Tune in inside: Mass balance fundamentals, digital twin integration, IoT data mapping, ProMax simulation software, emissions monitoring technology, EPA compliance engineering, data fidelity scoring, ISCC certification processes, blockchain energy trading, AI-powered facility monitoring</p><p><br></p><p>Take aways:</p><p>• Mass balance works like a checking account - tracking what comes in versus what goes out of energy systems</p><p>• Digital twins combined with real-time IoT data create powerful facility monitoring capabilities</p><p>• Mapping IoT data to simulation software originally took 6 months per site, now reduced to potentially 6 hours</p><p>• Data fidelity scores help operators prioritize critical emission devices and measurement accuracy</p><p>• Camera monitoring integrated with mass balance calculations provides comprehensive emissions detection</p><p>• The future involves AI-powered automated facility management to optimize field personnel deployment</p><p>• ISCC certification requires ISO 14067 with mass balance methodology for renewable energy credits</p><p>• Multiple mass balances within closed systems allow pinpoint identification of emission sources</p><p><br></p><p>Chapters:&nbsp;</p><p>00:00 - Intro&nbsp;</p><p>00:46 - Jana's Background in Oil &amp; Gas Engineering&nbsp;</p><p>02:24 - Introduction to MMRVT Framework 05:33 - Understanding Mass Balance Fundamentals&nbsp;</p><p>07:37 - Digital Twin Development with Luminary&nbsp;</p><p>10:27 - Streamlining Data Integration Processes&nbsp;</p><p>12:03 - Data Fidelity Scoring and Meter Accuracy&nbsp;</p><p>14:02 - Combining Visual and Mass Balance Monitoring&nbsp;</p><p>18:00 - Future Vision for Automated Operations&nbsp;</p><p>20:09 - Outro</p><p><br></p><p>Quote of the show: "You have a camera that's now on site that is your eyes for the facility that you can actually see that something is happening that shouldn't be happening, which is emissions."</p><p><br></p><p>In the rapidly evolving energy sector where verification and blockchain-fueled trading are dismantling traditional systems, understanding the technical infrastructure becomes crucial. Jana Brodersen brings over 20 years of oil and gas engineering expertise, specializing in process design and simulation using advanced software like ProMax. Her journey from upstream facility design to emissions monitoring represents the industry's pivot toward environmental accountability and data-driven operations.</p><p><br></p><p>The conversation reveals how mass balance principles, fundamental to process engineering, now serve as the backbone for renewable energy certification through standards like ISCC. The integration of digital twin technology with real-time telemetry data creates unprecedented visibility into facility operations, enabling operators to track emissions with precision previously impossible.</p><p><br></p><p>The discussion explores the challenges of scaling these technologies across hundreds of sites, the importance of data quality through fidelity scoring, and how combining visual monitoring with mathematical models creates robust verification systems. As the industry faces increasing regulatory pressure from the EPA and growing demand for verified clean energy, these technological solutions become essential for operational success.</p><p><br></p><p>Don't forget to subscribe to the Empirical Energy Podcast for more insights into the technologies reshaping global energy markets, and share this episode with anyone interested in the intersection of engineering, environmental compliance, and energy innovation.</p><p><br></p><p>#EmpiricalEnergy #MassBalance #DigitalTwin #OilAndGas #EmissionsMonitoring #CleanEnergy #EnergyVerification #ProcessEngineering #IoTData #ProMax #EnvironmentalCompliance #EnergyTechnology #BlockchainEnergy #RenewableEnergy #ISCC #EPA #PermianBasin #FacilityMonitoring #DataIntegrity #EnergySector</p>]]></description><itunes:image href="https://feeds.podetize.com/jYHcQOhPq.png"></itunes:image><itunes:episode>105</itunes:episode></item><item><title>Instrument Development &amp; Project Vulcan | Emily Wilson | Empirical Energy Podcast </title><enclosure url="https://feeds.podetize.com/ep/3zW4M8Jly/media/riGcvubSS.mp3" length="20585132" type="audio/mpeg"></enclosure><guid isPermaLink="false">3zW4M8Jly</guid><pubDate>Tue, 05 Aug 2025 15:00:00 GMT</pubDate><itunes:duration>1287</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Join host Mark Smith as he sits down with Emily Wilson, the brilliant scientist leading instrument development at Clean Connect, for an in-depth exploration of cutting-edge emission measurement technology. In this fascinating episode, Emily shares her remarkable 23-year journey at NASA Goddard Space Flight Center, where she developed groundbreaking instruments for measuring trace gases in Earth and planetary atmospheres, including sending the mini carb instrument into orbit via the space station in 2019.</p><p><br></p><p>Short description: Emily Wilson discusses her transition from NASA to Clean Connect and introduces Project Vulcan, a revolutionary approach to measuring and reducing stack emissions in real-time.</p><p><br></p><p>Tune in inside: NASA instrument development, miniaturized laser heterodyne radiometer, Project Vulcan stack monitoring, combustion efficiency optimization, greenhouse gas reduction, empirical measurement vs emission factors, global carbon observation networks, spectroscopy applications, feedback loop technology, climate change mitigation</p><p><br></p><p>Take away:</p><p>• Learn how Emily's NASA-developed technology is being adapted for commercial emission monitoring</p><p>• Discover Project Vulcan's approach to mapping combustion emissions across stack cross-sections</p><p>• Understand why direct measurement beats emission factors for accurate environmental data</p><p>• Explore the potential for 10% greenhouse gas reduction through optimized combustion</p><p>• See how real-time feedback loops can gamify emission reduction for companies</p><p>• Understand the critical need for global carbon monitoring networks in developing countries</p><p><br></p><p>Chapters:&nbsp;</p><p>00:00 - Intro&nbsp;</p><p>00:47 - Emily's NASA Background and Instrument Development&nbsp;</p><p>05:32 - Partnership with Clean Connect and Technology Transfer&nbsp;</p><p>07:02 - Project Vulcan Overview and Client Response&nbsp;</p><p>11:38 - Spectroscopy and Emission Mapping Technology&nbsp;</p><p>14:42 - Manufacturing Challenges and Component Sourcing&nbsp;</p><p>16:58 - Future Vision for Climate Impact and Global Monitoring&nbsp;</p><p>20:14 - Empirical Energy vs Traditional Emission Factors&nbsp;</p><p>21:52 - Outro</p><p><br></p><p>Quote of the show:&nbsp;</p><p>"I just want to build, I want to create the idea, buy the parts, build the thing, test the thing, manufacture the thing. That's the key part. And then we can get it into use."</p><p><br></p><p>Ready to dive deeper into the science behind emission measurement? Subscribe to the Empirical Energy Podcast for more groundbreaking conversations with the innovators reshaping global energy markets. Hit the notification bell to stay updated on the latest episodes featuring producers, traders, consultants, and renegades driving the clean energy revolution.</p><p><br></p><p>#EmpiricalEnergy #EmissionMeasurement #NASA #CleanTech #ProjectVulcan #SpectroscopyTechnology #GreenhouseGas #ClimateChange #InstrumentDevelopment #CombustionOptimization #EnvironmentalMonitoring #EnergyInnovation</p>]]></description><itunes:image href="https://feeds.podetize.com/VAhvOcOoH.png"></itunes:image><itunes:episode>104</itunes:episode></item><item><title>Blockchain Zero Trust Networks | Hans Rempel | Empirical Energy Podcast</title><enclosure url="https://feeds.podetize.com/ep/mOWBfRvIw/media/dNLtm0leF.mp3" length="23009708" type="audio/mpeg"></enclosure><guid isPermaLink="false">mOWBfRvIw</guid><pubDate>Tue, 22 Jul 2025 15:00:00 GMT</pubDate><itunes:duration>1438</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Join Mark Smith on the Empirical Energy Podcast as he explores the cutting-edge world of blockchain-powered zero trust networking with Hans Rempel, founder of Diode. In this deep-dive episode, discover how blockchain technology is revolutionizing industrial cybersecurity and secure communications for critical infrastructure.</p><p><br></p><p>Short Description: Hans Rempel from Diode explains how blockchain technology transforms traditional VPN limitations into provably secure, permissionless communication networks for industrial facilities and IoT devices.</p><p><br></p><p>Tune in for insights on:</p><p>• Blockchain-anchored network definitions and access control</p><p>• Zero trust networking vs traditional VPN security models</p><p>• Permissionless secure communications for industrial IoT</p><p>• Mathematical ownership of network access control lists</p><p>• Self-custody security models inspired by cryptocurrency principles</p><p>• Provable data provenance for critical infrastructure</p><p>• Autonomous AI agent network provisioning challenges</p><p>• Clean Connect architecture optimization with Diode integration</p><p><br></p><p>Key Takeaways:&nbsp;</p><p>• Traditional VPNs require opening firewall ports and complex multi-system configuration management&nbsp;</p><p>• Zero trust networking uses bridging servers but introduces new vendor trust dependencies&nbsp;</p><p>• Blockchain eliminates man-in-the-middle attacks by putting access control lists on immutable ledgers&nbsp;</p><p>• Self-custody network definitions give facility owners mathematical control over their security&nbsp;</p><p>• Permissionless networks allow adding trusted nodes without vendor dependency&nbsp;</p><p>• Autonomous AI agents will require automated network provisioning at scale&nbsp;</p><p>• Provable data provenance enables complete audit trails from sensor to final energy attribution</p><p><br></p><p>Chapters:&nbsp;</p><p>00:00 - Intro&nbsp;</p><p>01:30 - Hans Rempel Background and Diode Company Origins&nbsp;</p><p>04:15 - Internet of Things vs Secure Inbound Communications&nbsp;</p><p>06:45 - Traditional VPN Limitations and Security Challenges&nbsp;</p><p>09:20 - Zero Trust Networking and Bridging Server Concepts&nbsp;</p><p>11:40 - Blockchain Integration for Provably Secure Networks&nbsp;</p><p>14:25 - Self-Custody Security Models and Mathematical Ownership&nbsp;</p><p>17:10 - Clean Connect Architecture Analysis and Diode Implementation&nbsp;</p><p>20:35 - Permissionless Network Nodes and IP Address Control&nbsp;</p><p>22:50 - Future of Autonomous AI Agents and Network Automation&nbsp;</p><p>24:15 – Outro</p><p><br></p><p>Quote of the Show: "We want to give the owner the facility owner or Clean Connect, we want to give you mathematical ownership of that access control list."</p><p>Don't forget to subscribe to the Empirical Energy Podcast for more insights into the intersection of energy, AI, and blockchain technology. Like this episode if you found Hans's explanation of blockchain zero trust networking valuable, and share it with anyone working in industrial cybersecurity or critical infrastructure protection.</p><p><br></p><p>#blockchain #zerotrust #cybersecurity #industrialiot #networking #vpn #criticalinfrastructure #energysecurity #cleanconnect #diode #autonomousai #provenance #selfcustody #permissionless #empiricalenergy</p>]]></description><itunes:image href="https://feeds.podetize.com/nUMEF_Vlz.png"></itunes:image><itunes:episode>103</itunes:episode></item><item><title>Revolutionizing Energy Trading with Empirical Gas | Shane Foster | Empirical Energy Podcast</title><enclosure url="https://feeds.podetize.com/ep/h6P4yEjbb/media/KRuhOU1Do.mp3" length="20892332" type="audio/mpeg"></enclosure><guid isPermaLink="false">h6P4yEjbb</guid><pubDate>Wed, 09 Jul 2025 17:52:56 GMT</pubDate><itunes:duration>1306</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p><strong>:</strong> In this groundbreaking inaugural episode of the Empirical Energy Podcast, host Mark Smith sits down with Shane Foster from Gunvor Group to explore the revolutionary world of empirical natural gas and how it's transforming the energy trading landscape. This comprehensive discussion reveals how traditional energy trading is evolving through cutting-edge technology, blockchain innovation, and empirical measurement to create scalable carbon reduction solutions.</p><p>Short description: Shane Foster, leading energy transition efforts at Gunvor Group, discusses how empirical natural gas measurement and ISCC certification are creating new scalable pathways for corporate carbon reduction goals, combining traditional energy trading expertise with breakthrough technology.</p><p>Tune in inside:</p><ul><li>Empirical natural gas measurement and certification</li><li>ISCC Plus feedstock blending protocols</li><li>Environmental Attribute Certificates (EACs) as tradeable assets</li><li>Microsoft's carbon reduction challenges and industry-wide scaling issues</li><li>Blockchain-based energy trading and NFT integration</li><li>Virtual vs physical delivery mechanisms</li><li>Mass balance methodology and ISO 14067 standards</li></ul><p>Take aways:</p><ul><li>Traditional RNG alone cannot meet corporate carbon reduction goals at scale due to limited volume and high costs</li><li>Empirical natural gas offers 20-25% emissions reduction at single-digit percentage premium over standard natural gas</li><li>ISCC certification enables book and claim trading, allowing geographic flexibility for carbon savings</li><li>EACs function as birth certificates for energy, creating new tradeable asset classes</li><li>Combining empirical natural gas with RNG through feedstock blending can achieve net-zero CI scores</li><li>Blockchain technology enables automated, transparent trading of environmental attributes</li><li>The solution is available today, reliable, and affordable compared to futuristic carbon removal technologies</li></ul><p>Chapters: 00:00 Introduction and Guest Background </p><p>02:30 Gunvor Group Overview and Energy Trading Operations </p><p>05:45 Energy Transition Focus and Empirical Natural Gas Introduction </p><p>09:15 The Scale Challenge: Why RNG Alone Isn't Enough </p><p>12:30 Microsoft Case Study: Corporate Carbon Reduction Reality </p><p>15:20 ISCC Certification and Feedstock Blending Explained </p><p>19:45 Understanding Environmental Attribute Certificates (EACs) </p><p>23:10 Book and Claim vs Physical Delivery Models </p><p>26:40 Empirical Gas Measurement and Mass Balance Methodology </p><p>30:25 Creating Net Zero Gas Through Blending </p><p>33:50 Benefits for Producers and Automated EAC Generation </p><p>37:15 Buyer Advantages and Scalability Solutions </p><p>40:30 Blockchain Integration and NFT-based Trading </p><p>43:20 Market Growth and Trader Accessibility </p><p>46:45 Future of Empirical Energy Ecosystem </p><p>49:30 Closing Thoughts and Industry Impact</p><p><br></p><p>Quote of the show: "Working with an experienced energy trader to create a new asset class, a new product, a new ecosystem has been fantastic because you're teaching us how it's done, but you've been super open to bringing on all this new technology."</p><p>Don't forget to subscribe to the Empirical Energy Podcast for more insights into the future of energy trading and carbon reduction technologies. Like this episode if you found it valuable and share it with others in the energy industry who need to understand these revolutionary developments.</p><p>#EmpiricalEnergy #EnergyTrading #CarbonReduction #NaturalGas #ISCC #Blockchain #RNG #EnvironmentalAttributeCertificates #EAC #GunvorGroup #Sustainability #CleanEnergy #EnergyTransition #CarbonNeutral #MassBalance #ISO14067</p>]]></description><itunes:image href="https://feeds.podetize.com/SPl9REmwD.png"></itunes:image><itunes:episode>102</itunes:episode></item><item><title>The Future of Energy Trading | Mark Smith | The Empirical Energy Podcast </title><enclosure url="https://feeds.podetize.com/ep/ESf5JhZXB/media/YyrGL21V-.mp3" length="37495340" type="audio/mpeg"></enclosure><guid isPermaLink="false">ESf5JhZXB</guid><pubDate>Mon, 30 Jun 2025 15:55:15 GMT</pubDate><itunes:duration>2343</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<p>Love the show? Subscribe, rate, review, and share! Welcome to the very first episode of The Empirical Energy Podcast, where host Mark Smith introduces a revolutionary approach to energy trading that's transforming global markets through scientific measurement and blockchain technology.&nbsp;</p><p><br></p><p>Tune in inside:&nbsp;</p><p>• Empirical energy measurement vs. outdated emission factors&nbsp;</p><p>• Blockchain-powered energy trading platforms&nbsp;</p><p>• AI integration in energy production monitoring&nbsp;</p><p>• MMRVT framework (Monitoring, Measuring, Reporting, Verifying, Trading)&nbsp;</p><p>• Premium pricing opportunities for verified energy&nbsp;</p><p>• International trading standards (ISO 14067, ISCC)&nbsp;</p><p>• Energy Attribute Certificates (EACs) as NFTs&nbsp;</p><p>• Case studies from real clients like Pure West Energy and Gunvor&nbsp;</p><p><br></p><p><br></p><p>Key Takeaways:&nbsp;</p><p>• Empirical measurement replaces subjective emission factors in energy trading&nbsp;</p><p>• Market-driven standards are ahead of regulatory frameworks by years&nbsp;</p><p>• AI, blockchain, and measurement technologies create new premium pricing opportunities&nbsp;</p><p>• Early adopters are sharing knowledge to scale the empirical energy movement&nbsp;</p><p>• This approach could end energy-related geopolitical conflicts through objective measurement&nbsp;</p><p>• The podcast serves as research for Mark's upcoming book "Empirical Energy"&nbsp;</p><p><br></p><p><br></p><p>Chapters:&nbsp;</p><p>00:00 - Introduction to The Empirical Energy Podcast&nbsp;</p><p>02:30 - What is Empirical Energy and Why It Matters&nbsp;</p><p>08:15 - The Problem with Current Energy Trading Systems&nbsp;</p><p>15:20 - How Empirical Measurement Gamifies Energy Production&nbsp;</p><p>22:45 - Building an Ecosystem: Producers, Traders, and Experts&nbsp;</p><p>28:30 - Mark Smith's Origin Story: From Painting Houses to Solving Big Problems&nbsp;</p><p>35:45 - Contact Information and How to Get Involved&nbsp;</p><p><br></p><p><br></p><p>Quote of the Show:&nbsp;</p><p>"Let's measure all the energy and let it compete based on that&nbsp;</p><p>empirical measurement. This will literally end wars."&nbsp;</p><p><br></p><p><br></p><p>&nbsp;</p><p>Subscribe to The Empirical Energy Podcast for cutting-edge insights into&nbsp;</p><p>the future of energy trading! Like this episode if you're ready to be part of the energy revolution, and share it with anyone in the energy, trading, or sustainability space. Join the conversation in the comments below!&nbsp;</p><p><br></p><p><br></p><p>#EmpiricalEnergy #EnergyTrading #Blockchain #AI #CleanTech #EnergyMarkets #Sustainability #Innovation #CleanConnect #EnergyMeasurement</p>]]></description><itunes:image href="https://feeds.podetize.com/9GnggjFRP.png"></itunes:image><itunes:episode>101</itunes:episode></item><item><title>The Empirical Energy Podcast</title><enclosure url="https://feeds.podetize.com/ep/msVnJ41c8/media/pAvEVQ3PP.mp3" length="732425" type="audio/mpeg"></enclosure><guid isPermaLink="false">msVnJ41c8</guid><pubDate>Fri, 20 Jun 2025 16:51:26 GMT</pubDate><itunes:duration>46</itunes:duration><link></link><itunes:explicit>false</itunes:explicit><description><![CDATA[<h2 class="ql-align-justify">The Empirical Energy Podcast: Unveiling the Verified Energy Revolution</h2><p class="ql-align-justify">Welcome to The Empirical Energy Podcast, where we blow open the silent revolution rewriting the rules of global energy markets. Measured, verified energy is no longer an alternative—it's becoming the gold standard. This groundbreaking series takes you inside the raw mechanics of how verification technologies and blockchain-fueled trading are dismantling old systems and creating a future where empirical energy doesn't just compete, it dominates.</p><h2 class="ql-align-justify">Why Listen to The Empirical Energy Podcast?</h2><p class="ql-align-justify">The energy industry is experiencing its most dramatic transformation in decades. Traditional trading models are giving way to verified, transparent systems that reward measurable sustainability and authentic carbon reduction. The Empirical Energy Podcast showcases the producers, traders, consultants, and industry renegades driving this seismic shift, revealing how verification standards and cutting-edge technologies are creating unprecedented opportunities in energy markets.</p><p class="ql-align-justify">Our podcast is essential listening for energy professionals, investors, and sustainability leaders who want to master blockchain-verified trading, capitalize on premium pricing for certified commodities, implement MMRV technologies, navigate evolving regulatory landscapes, scale empirical energy solutions, and position themselves at the forefront of the energy transition.</p><h2 class="ql-align-justify">What to Expect from Each Episode</h2><p class="ql-align-justify">Every episode delivers insider perspectives from the pioneers reshaping energy markets. Our diverse guest roster spans the entire empirical energy ecosystem, from C-suite executives at leading energy producers to traders at global trading houses, verification specialists setting industry standards, and innovation scouts connecting breakthrough technologies with market opportunities.</p><p class="ql-align-justify"><strong>Featured Topics Include:</strong>&nbsp;Blockchain-verified energy trading and transparent transaction systems, premium pricing strategies for measured commodities, MMRV technologies and AI-powered verification platforms, carbon-neutral certification standards and pathways, regulatory trends driving empirical measurement adoption, alternative energy market valuation models, trading desk adaptation to certified molecules, and scaling solutions for empirical energy markets.</p><p class="ql-align-justify"><strong>Personal Leadership Insights:</strong>&nbsp;Career journeys in the evolving energy sector, decision-making frameworks for high-stakes energy investments, overcoming industry challenges and market disruptions, building teams that bridge traditional energy and emerging technologies, and the strategic mindset required to lead during energy transformation.</p><h2 class="ql-align-justify">Who You'll Hear From</h2><ul><li class="ql-align-justify"><strong>C-Suite Executives</strong>&nbsp;from leading energy producers driving verified energy initiatives</li><li class="ql-align-justify"><strong>Global Energy Traders</strong>&nbsp;and LNG Desk Heads specializing in certified molecules</li><li class="ql-align-justify"><strong>Production Operations Leaders</strong>&nbsp;implementing MMRV technologies at scale</li><li class="ql-align-justify"><strong>Origination Managers</strong>&nbsp;scouting and structuring empirical energy deals</li><li class="ql-align-justify"><strong>Verification Specialists</strong>&nbsp;and Technical Directors overseeing ISO and ISCC audits</li><li class="ql-align-justify"><strong>Carbon Market Analysts</strong>&nbsp;tracking premium pricing and market dynamics</li><li class="ql-align-justify"><strong>Energy Transition Authors</strong>&nbsp;and industry thought leaders</li><li class="ql-align-justify"><strong>Innovation Scouts</strong>&nbsp;connecting breakthrough technologies with market applications</li></ul><p class="ql-align-justify">Whether you're an energy executive navigating market transformation, a trader adapting to certified commodities, or an investor seeking opportunities in verified energy markets, The Empirical Energy Podcast delivers the insider knowledge and strategic insights you need to thrive in the empirical energy revolution.</p><p><br></p>]]></description><itunes:image href="https://feeds.podetize.com/EL_5rBuK9.png"></itunes:image><itunes:episodeType>trailer</itunes:episodeType></item></channel></rss>