All Episodes

Bobby Neelon and John Kalfayan sit down with Kayla Ball to break down why the methane compliance space is stuck in the trough of disillusionment, how she ended up cleaning up Petra's flat file nightmare at IHS, and why vibe coding with Claude feels like training your own replacement. They dig into sensor data chaos across ops teams, why public data companies should be worried, the wild difference between building lovable prototypes versus commercial deployments with SOC2 governance, and how AI is forcing everyone to confront the fact that humans shouldn't be entering data into anything anymore.Click here to watch a video of this episode.0:00 - Devon and Chesapeake leaving Oklahoma City4:50 - What SensorUp actually does beyond sensors11:40 - Methane space challenges and compliance markets18:30 - Why standardizing sensor data is so hard26:40 - Getting into product management from geology32:45 - AI automating regulatory workflows and field inspections38:50 - Vibe coding prototypes versus productizing for enterprises45:15 - Public data moat questions for IHS and Enverus52:30 - Duck Lake and licensing components over custom dev58:15 - Product management changing with Claude Code1:04:40 - Data problems holding back AI adoption1:11:20 - Speed round on youth sports complexes and baseball1:22:40 - Hot takes and wrapping uphttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Hussein Shel, CTO and head of business development for energy and utilities at Amazon Web Services, joins Bobby and John to talk about his journey from Chevron engineer to cloud technology leader. They explore how AI coding tools are changing the game for energy companies, why the barrier to entry for building apps has never been lower, and what it means when your reservoir engineer can now spin up their own solutions in minutes instead of months. Hussein shares why he thinks we're only scratching the surface of what's possible when you combine domain expertise with modern AI tools, discusses the cultural shifts needed for energy companies to move fast, and explains why he's both excited about AI's potential and concerned about its massive energy demands.If you’re into energy tech, you’re in the right place. John and Bobby have built a deep catalog of conversations with the minds modernizing energy inside companies like AWS, Snowflake, Devon Energy, and more. Listen to the full library on Apple Podcasts and Spotify, or watch at https://collide.io/community.Click here to watch a video of this episode.00:00 - Welcome and introductions03:14 - Early AI experiments and low-code tools08:11 - Core principles that haven't changed12:04 - Managing costs and governance15:15 - Data access and shadow IT17:16 - Building apps in weeks vs months19:25 - Domain-specific foundation models21:10 - AWS infrastructure and energy footprint26:21 - Custom silicon and partnerships29:11 - Current AI model landscape33:36 - Enterprise adoption challenges38:58 - Cultural change from the top42:06 - Scoping problems and quick wins46:16 - Legacy systems and technical debt52:18 - Building AI-first energy companies56:57 - Tech debt acceleration1:00:04 - Speed round and favorite spotshttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Collide AI 2025 Wrapped Part 1 turns into a real talk on why forward deployed engineers win where AI pilots stall, with Michael Cortez, John, and Nick Smart swapping war stories from completions, geophysics, and the startup trenches while they map out how Collide Enterprise moves past basic chat tools into search plus workflows that actually hold up in the real world.Click here to watch a video of this episode.00:00 Setup and intros 00:45 Michael’s path and joining Collide 01:59 Nick’s background and role shift 03:08 Collide Enterprise vs community 04:16 Search, RAG, and workflow evolution 06:31 Why out of the box AI falls short 08:41 Time savings and real work focus 11:39 Single source of truth vision 13:16 Small teams scaling bigger assets 17:18 AI adoption vs past tech hype 19:26 Digital transformation missing link 20:20 Why FDEs make pilots work 23:36 Biggest learnings this year 31:52 What’s next in 2026 38:57 Bold predictions for 3 to 5 years 47:37 Fine tuned models teaser and wraphttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcattershttps://app.collide.io/content/RprbJAD 

Bruce Holman and Corey Scott showed up ready to blow up the idea that accounts payable has to be slow, messy, and stuck in the past. They walked us through how Energy Payables is flipping the script with a platform that actually makes sense for operators and vendors, think cleaner workflows, real transparency, and smart tech like AI doing the heavy lifting instead of some poor soul buried in spreadsheets. Between the stories from the field, the back-office chaos they’re fixing, and the vision they have for where oil and gas operations should be headed, this conversation feels like a peek at how the industry finally gets out of its own way and into something a whole lot more efficient.Click here to watch a video of this episode.00:00 - Intro01:42 - EnergyLink Platform08:37 - JIBLink Overview14:15 - Understanding JIBs18:10 - Vision for the Platform20:57 - Evolution of Tech Stack26:08 - Introduction to Energy Payables28:18 - What is Energy Payables?30:14 - Network Effects in Energy Sector32:50 - Vendor Pain Points38:15 - Energy Payables Pricing Model40:25 - AI Impact on Energy Ogre44:05 - AI for Normalizing Frac Data47:43 - Data Extraction from PDFs50:35 - Azure Cloud Solutions52:07 - Introduction to DataFoundry55:54 - Token Models Explained58:12 - Overview of DuckDB59:04 - Energy Payables API Insights1:02:30 - Speed Round Discussion1:06:44 - Contact Information1:08:35 - Conclusion and Wrap Uphttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Justin has a way of making the oilfield and the data world feel like they’ve always belonged together. He walked us through how he’s helped teams untangle messy workflows, clean up data quality issues, and actually make analytics useful instead of overwhelming. From his time at Marathon Oil to experimenting with tools like Snowflake and Alteryx, he’s all about boosting efficiency and giving people the confidence to make smarter decisions. We also ended up talking about where AI actually fits into oil and gas, not the hype, but the stuff that genuinely moves the needle.Click here to watch a video of this episode.00:00 - Intro01:12 - Justin McBroom Introduction05:29 - Data as a Strategic Asset09:08 - Accessing Data Effectively11:04 - Optimizing Spotfire Performance14:30 - Common Pitfalls to Avoid17:44 - Empowering Your Workforce19:50 - Alteryx Virtual Query Builder Insights27:38 - Justin’s 100+ Day Streak Achievement29:37 - Analyzing Most Popular Posts31:12 - Strategies for Successful Posts33:55 - The Dynamics of Social Media Posting37:18 - The Return of Vine40:06 - Passionate Posts Discussion46:02 - AI Designed for Success50:29 - Recommendations for Companies55:20 - Encouraging Tool Exploration57:28 - Accountability in Work1:06:06 - Speed Round Q&A1:09:04 - Favorite Houston Restaurant Picks1:09:31 - Tools Everyone Should Use1:10:27 - How to Connect with Justinhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

PandoScape is on a mission to make data actually make sense. We sat down with Christy Hopkins and Philip Heggelund, the CEO and CTO duo behind the company, to talk about how they’re untangling the mess of data integration in energy. From subsurface insights to cloud headaches, they’re rethinking how information flows across the industry. We got into the good stuff: cleaning up bad data, breaking down silos, and figuring out how to build real trust in data systems. Christy and Philip aren’t just building tools, they’re building a future where energy companies actually use their data instead of drowning in it.Click here to watch a video of this episode.00:00 - Intro01:23 - Christy’s International Experience03:22 - Recent Cloud Outages06:05 - On-Prem AI Servers10:59 - PandoScape Overview18:05 - PandoScape's Services20:50 - Unique Features of PandoScape23:20 - PandoScape’s Technology Stack25:00 - PandoScape’s Business Model26:40 - Target Market for PandoScape28:20 - Future Plans for PandoScape30:00 - PandoScape’s Funding History31:40 - Hiring Plans at PandoScape33:20 - PandoScape’s Culture and Values34:15 - Data Engineering vs Data Science36:10 - Google vs Bing Comparison40:10 - Impact of COVID-1945:58 - The AI Hype Cycle49:15 - Choosing the Right Tools51:00 - Importance of Quality Data52:32 - MCP Server Overview56:25 - gRPC Technology57:49 - MCP Server Functionality1:00:32 - The Magic Layer Concept1:06:08 - Memory of Things1:12:30 - Speed Round1:15:57 - Contacting the PandoScape Team1:16:40 - Making a Good Mimosa1:17:22 - Making a Good Margarita1:17:33 - How to Drink Tequilahttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Rudy Lacovara is on a mission to untangle the messy data spaghetti that runs through oil and gas. He built PetroBricks to be the “Zapier for energy”, a way to connect clunky systems, automate the repetitive stuff, and make workflows actually make sense. We got into the pain points everyone in the industry knows too well: outdated data standards, SCADA headaches, and the constant struggle to automate without breaking things. Rudy shared how his aerospace background shaped the way he approaches energy tech, why MQTT matters, and how low-code platforms could finally change the game for operators. If you’ve ever wished your data systems would just talk to each other, this one’s for you.Click here to watch a video of this episode.00:00 - Intro00:44 - Houston Energy and Climate Week02:56 - PetroBricks Overview06:36 - What is PetroBricks?09:58 - PetroBricks Location12:45 - Sparkplug B Overview14:07 - Common Integrations17:02 - Data Acquisition from Service Companies19:12 - Journey into Tech24:34 - Inspiration for PetroBricks28:05 - Entry into Oil and Gas31:15 - Issues with Frac Data34:55 - PetroBricks Insights38:58 - Tools Used by Matt41:18 - Akka Framework43:58 - AI Coding Tools Overview46:04 - PetroBricks Technology Stack48:49 - Understanding Containers51:01 - Benefits of Containers54:33 - Speed Round59:30 - Favorite Vacation Destination59:35 - Preferred LLM for Problem Solving01:01:09 - Houston Insights01:01:29 - Book Recommendation01:03:54 - How to Connect with Rudyhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI is shaking things up in oil and gas, and Hussam Rahman is right in the middle of it. He’s the founder of AAI Agency and the brains behind tools like Petri, a copilot built for engineers, and the Business Toolkit that helps companies cut through messy workflows. We got into how AI is solving everyday headaches, think bad data management, clunky reporting, and inefficient processes, while opening the door to automation and smarter decision-making. Hussam’s mix of industry experience and forward-thinking tech makes for a conversation that’s equal parts practical advice and big-picture strategy on where AI is taking the energy world next. Click here to watch a video of this episode.00:00 - Intro04:56 - What does AAI stand for05:05 - Do You Really Need AI?11:00 - AI in the Oil & Gas Industry12:22 - Importance of Quality Data13:38 - Data Engineering in Machine Learning15:04 - AI as a Tool in Industry16:25 - Use Cases for Large Language Models19:29 - Explainability in AI23:18 - LLMs: Answers vs. Correct Answers24:30 - Petrie Overview25:30 - Context in Data Analysis30:59 - Data Storage Solutions34:59 - Career Path Insights39:34 - Petri Excel Add-In Features43:24 - Career Progression from Hess48:30 - Prototyping Importance50:15 - Rapid Prototyping with AI52:53 - Solopreneurship Opportunities53:00 - Tools in Your Tech Stack58:35 - Arc Overview01:01:06 - Speed Round01:02:54 - Things to Do in Qatar01:02:30 - Best Coffee Shops in Houston01:02:55 - Language Model Preferences01:04:45 - Current Reading List01:06:24 - Contacting Hussam01:06:40 - Outrohttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI is no longer just a buzzword in oil and gas, it’s reshaping how the entire industry works. Steven Barrow grew up as a fourth-generation oilfield guy, but instead of sticking with tradition, he’s pushing things forward with Patronus Energy. We got into everything from using computer vision to spot safety issues, to drones inspecting sites, to automating the headache of P&IDs. Steven’s story ties it all together: a blend of family legacy, startup grit, and some seriously cool applications of AI that are cutting through inefficiencies and making oilfield operations smarter. It’s equal parts tech talk and real-world problem solving, with a few glimpses into where energy might be headed next.00:00 - Intros01:58 - Patronus Energy Overview04:02 - Founding Patronus Energy11:04 - Field Experience Insights14:07 - Effective Learning Methods15:46 - Software Development Background18:14 - Coding Journey19:06 - Smart Pigging Technology20:00 - Software Development for E&Ps22:53 - MLOps in Energy Sector25:57 - Product Development Inflection Point27:54 - Project Preferences30:36 - Computer Vision Innovations36:00 - Impact of Ukraine War on Process Safety39:30 - AI Applications in Process Safety41:40 - Drone Survey Usage44:53 - Drone Lighting Solutions46:43 - Technology Stack Overview49:50 - Underrated Tools and Frameworks51:44 - Future of Work in Energy55:12 - Prototyping Techniques56:06 - Scripting to Production1:00:34 - Dining Recommendations in Bentonvillehttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI isn’t just creeping into oil and gas, it’s blowing the doors open. Scott Casso from Casso Land & Imaging Services walked us through how his team is dragging decades of dusty, “dark” data into the digital age. Think land title work, document digitization, and the kind of workflow cleanup that makes mergers and acquisitions a whole lot smoother. Instead of drowning in paper, companies can now actually use their data, cut inefficiencies, and make faster, smarter decisions. It’s a mix of old-school industry grit and next-gen AI muscle and it shows how tech can unlock value hiding in plain sight.Click here to watch a video of this episode.00:00 - Introductions01:18 - Casso Land and Imaging Services05:45 - Importance of Digitizing Data09:19 - QR Codes in Data Management12:27 - Meaning of Digitizing15:12 - Digitization in Mergers & Acquisitions17:49 - Pre-Sale Data Digitization21:56 - Key Documents for Data Extraction27:50 - Value of Searchable Data Today30:30 - Relationships in Data Analysis35:09 - Data Engineering and LLMs38:04 - External Support in Oil & Gas43:38 - Scott's Journey into the Industry50:25 - Speed Round Questions53:02 - Influential Books57:30 - Favorite Outdoor Activities in Oklahoma01:01:03 - Where to Find Scott01:01:53 - Wrapping Uphttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Mathias has a knack for shaking up an industry that doesn’t exactly love change, and he’s doing it from the inside. As CEO of Whitson, he’s bringing petroleum engineering software into the cloud era, building tools that work in real time instead of waiting on clunky desktop updates. We talked about what it takes to get a traditional industry to embrace modern platforms, why seamless data integration is the real game-changer, and how Whitson Plus is helping make it happen. Somewhere along the way, we compared life in Norway to Houston, swapped taco recommendations, and even found a few similarities between fjords and tech. It’s a mix of innovation, culture, and just enough humor to remind you that oil and gas tech can actually be fun.Click here to watch a video of this episode.00:00 - Intro01:05 - Norway Geography Overview04:26 - Understanding WITSML Standards05:55 - Introduction to WITS Protocol12:45 - Data Sovereignty Explained17:15 - SOC 2 Compliance for Software17:37 - International Market Entry Advice19:58 - Software Portability Across Clouds22:06 - Strategies for Reducing Cloud Costs23:20 - COVID-19 Impact on Cloud Adoption24:10 - Cloud Provider Flexibility25:15 - Whitson Product Overview27:28 - Whitson PBT Features29:10 - Whitson Spacing Solutions34:51 - Well-by-Well Analysis39:21 - Watson Plus Overview43:37 - Data Integration Strategies47:10 - Future of WITSML and RESQML52:40 - Importance of Software Integrations54:09 - Leveraging APIs for Growth55:30 - Snowflake Data Solutions59:23 - Speed Round Q&A1:06:00 - Contacting Whitson1:07:45 - Closing Remarks1:09:33 - Unique Aspects of Collide Energy1:13:14 - Outrohttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI and GIS might not sound like the flashiest combo, until you hear what Bunting Labs is cooking up. Michael Egan breaks it down with John and Bobby: how they’re turning old-school geologic maps into clean, digital datasets, baking large language models into QGIS, and giving non-technical folks the power to ask spatial questions like pros. From landmen to transportation planners, this episode explores how tools like Mundi are cutting down analysis time and opening up the GIS world to way more people. It’s all about smarter maps, faster workflows, and making geospatial data way less intimidating.Click here to watch a video of this episode.00:00 - Intro01:25 - Michael Egan, Bunting Labs Co-Founder03:51 - Billion Dollar Idea in Tech05:52 - Fencing Solutions in GIS07:41 - Overview of Bunting Labs09:44 - Understanding GIS Technology12:41 - Mundi and Spatial Data Interaction15:42 - Comparing Mundi and Bunting Labs19:20 - Target Audience for Mundi21:34 - Energy Use Cases in GIS23:16 - Plat Digitizer Overview24:51 - Primary Use Cases of Mundi27:58 - Embedding Mundi in Applications30:33 - Base Map Compatibility in GIS33:00 - Maximizing QGIS Utilization34:08 - Computer Vision and LLM Integration37:30 - Future of WebGIS Technology39:48 - Advancements in Computer Vision43:20 - Self-Hosting Solutions Explained46:20 - Dataset Iteration Techniques48:27 - Cursor in Oil and Gas Industry53:36 - Cursor Applications in GIS Industry01:00:03 - Exploring the Tech Stack01:02:42 - Choosing a Cloud Provider01:03:41 - Non-OpenAI Model Preferences01:04:16 - Favorite Vacation Destinations01:04:45 - YC Company Highlights01:06:44 - Where to Find Michael Egan01:07:50 - Outrohttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI isn’t just showing up in oil and gas, it’s kicking the door down. We hung out with Bella Kelada-Khalil from Midnight Marketing, who’s diving headfirst into petroleum engineering and AI after starting in sales and events. She’s asking the smart, unfiltered questions you wish you could, and we’re here for it. We swap stories on how AI is automating the boring stuff, making data wrangling less painful, and helping teams actually trust what they’re looking at. From LangChain setups to sketchy data rooms, it’s all on the table. This one’s for anyone wondering how tech and tradition can play nice in the field.00:00 - Intro01:40 - Flipping the Table07:00 - Journey to AI Adoption13:34 - Understanding AI, ML, and LLM15:37 - AI vs Machine Learning vs LLMs Explained17:23 - The Power of LLMs20:55 - Starting Platforms for AI22:24 - Free vs Paid AI Models28:15 - Starting Points in Petroleum Engineering30:06 - Essential Learning Before AI31:42 - Building a Data Foundation34:40 - LinkedIn's Data Insights37:25 - AI-Generated Video Content41:10 - Authenticity in AI Creations44:35 - AI in Due Diligence Processes49:00 - Training Duration for AI Models51:15 - Optimal Efficiency in AI54:51 - Successful AI Use Cases in Production58:50 - Tech Stack Essentials1:03:04 - Data Accessibility Challenges1:08:24 - Barriers to AI Adoption in Oil & Gas1:12:15 - LLMs vs Other Tech Hypes1:17:46 - Outrohttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

Tired of clunky geoscience software that feels like it was built in the '90s? Same. That’s why we brought on Cameron Snow from Danomics to talk about how his team is shaking things up. He’s built a platform that actually makes life easier for geologists and engineers, no more wrestling with legacy tools just to run a few thousand wells. We got into how Danomics uses AI (without going full robot overlord), how the cloud isn’t just buzzword fluff, and why data management doesn’t have to suck. If you’ve ever cursed at reservoir modeling software, you’ll want to hear this one.00:00 - Intro01:00 - EOG Acquires INNO03:39 - Understanding Danomics07:18 - Importance of Cloud for Danomics10:38 - Cloud First Strategy14:17 - Data Residency Explained15:42 - Founding Danomics17:34 - Coding Journey22:54 - Programming Languages Overview25:14 - Managing Complex Equations29:05 - Handling Customer Requests32:54 - Significance of UI/UX Design36:40 - Meeting User Expectations38:54 - Software Integration with Applications43:25 - Data Management and Organization50:07 - Coding for Geoscientists and Engineers59:48 - AI's Impact on Oil and Gas Industry01:00:02 - AI's Limitations in Oil and Gas01:05:25 - Speed Round01:09:10 - Contacting Cam01:10:00 - Outrohttps://www.instagram.com/digitalwildcattershttps://www.tiktok.com/@digitalwildcattershttps://www.facebook.com/digitalwildcattershttps://www.linkedin.com/company/digitalwildcattershttps://twitter.com/DWildcattershttps://www.youtube.com/@digitalwildcatters

If you've ever wrestled with messy datasets, legacy code, or trying to get executives to actually *use* data, you’ll get a kick out of this one. We sat down with Jeff Krimmel from Krimmel Strategy Group to talk shop about how he’s helping energy companies turn their mountain of data into real-world strategy. We hit everything from making peace with Fortran (yep, still kicking) to getting smart about tools like Snowflake and Databricks, and even why asking better questions matters more than the data itself. Jeff’s got a sharp eye for cutting through the noise—and a knack for blending cold, hard numbers with human behavior. Whether you geek out on AI trends or just want your data dashboards to make more sense, this convo's got something for you.Click here to watch a video of this episode. 00:00 - Intro04:05 - Snowflake Summit Insights06:22 - Data Utilization by Jeff11:28 - Over-engineering in Decision Making14:08 - Effective Forecasting Techniques15:21 - Understanding Variable Importance16:18 - Confidence in Decision-Making Processes19:20 - Engineering vs Energy Industry Decisions21:20 - The Role of Assumptions in Analysis22:50 - Proof of Work Explained23:30 - Managing Risk and Uncertainty in Energy27:17 - Overview of Crudele Strategy Group27:31 - Typical Project Workflow27:37 - Tools Used by Matt31:17 - Foundations of Energy Sector32:56 - Value of Third-Party Perspectives34:40 - Data Abundance in Energy Sector35:55 - Jeff's Data Acquisition Methods38:30 - Understanding OData41:40 - Challenges with APIs43:20 - Google Sheets Scripting Techniques46:40 - Integrating DuckDB with Google Sheets48:37 - Chart Visualization Insights50:49 - Cost of DIY Solutions52:47 - Trusting AI in Decision Making58:18 - Speed Round Discussion58:20 - Jacob’s Startup in Energy58:29 - Would You Rather: C++ vs Fortran59:10 - Favorite Houston Restaurant Recommendations1:00:08 - Favorite Scripting Language Choices1:04:36 - Cancun Travel Insights1:07:21 - How to Connect with Jeff1:08:03 - Collide Platform Overview1:09:39 - Building a Community: The Grind1:10:27 - Growth Strategies for Collide1:11:09 - The Endless Journey in Software Development1:11:35 - Conclusion on Software Development Challenges1:11:50 - The Ongoing Nature of Developmenthttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

SmartChain is on a mission to kill off the chaos of clunky contracts in oil and gas and they might actually be pulling it off. We caught up with their co-founder Cameron Sinclair, who’s turning heads with a platform that automates the mess out of invoicing, closes those dreaded “leakage” gaps, and makes cash flow way less of a guessing game. From aligning incentives between operators and vendors to building smarter, data-driven performance contracts, Cameron breaks down how SmartChain is flipping the script on old-school processes and dragging them into the digital age. If you've ever dealt with contract nightmares (or just want your ops to run smoother), this one’s worth a listen.Click here to watch a video of this episode. 00:00 - Guest Intro01:15 - Cam’s Background07:28 - Starting SmartChain10:36 - Origin of SmartChain13:18 - Overview of SmartChain17:47 - Challenges in Digitizing Field Tickets23:00 - Impact on Cash Flow24:40 - Understanding DSO and Its Importance26:42 - Average DSO & DIR Analysis28:44 - Case Study 1: Offshore Drilling Insights30:49 - Case Study 2: Performance Contract Overview32:40 - Strategies for Creating Better Contracts39:37 - Addressing Pushback and Objections41:15 - Mutual Benefits for Operators and Service Companies46:15 - Charging Models Explained48:42 - Successful Oil and Gas Startups50:35 - Role of Blockchain in Energy57:17 - Closing Thoughts57:58 - Favorite Rugby Team58:10 - Book Recommendations58:54 - Favorite Speculative Crypto01:00:34 - Favorite Vacation Spot01:01:31 - Connecting with Cameronhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

We're lifting the curtain on the mysterious world of energy data transparency with the guy who's shaking things up at AFE Leaks. He's on a mission to break open the hidden details around oil and gas costs and operations, think: cracking open dusty old filings and turning them into something everyone can actually use. He chats about the wild ride of starting a data-driven company in an industry ruled by giants, spills some truth about the headaches of digitizing mountains of paperwork, and gives us a peek at how AI is quietly changing the game. Plus, hear what’s really happening behind the scenes in the ultra-competitive lower 48 data market and how clear, accessible data might just be the industry's next big revolution.Click here to watch a video of this episode.00:00 - Intro01:29 - Enverus Acquisition $6B05:49 - Competing with IHS & Drillinginfo07:05 - Selling Strategies in Energy Sector11:02 - Role of Geologists in Industry13:07 - Understanding Reserves in Energy15:22 - AFs and AFEs Explained23:00 - Data Extraction from PDFs24:34 - Optimizing Lease Operating Expenses (LOE)28:13 - Business Education for Engineers31:40 - Learning to Code for Professionals34:21 - Choosing the Right Model in Energy35:48 - Building Your Tech Stack39:57 - Data Insights and Interesting Findings43:28 - Sourcing Reliable Data45:54 - AFE Leaks’s Unique Business Model47:15 - Accessing AFE Leaks’s Data Resources48:20 - Identifying Target Customers51:30 - Entrepreneurship Journey Insights54:01 - Recommended Books for Entrepreneurs55:01 - Favorite R Packages for Data Analysis56:43 - Top Vacation Destinations57:59 - Best Restaurants Recommendations1:00:06 - Community Engagement1:02:22 - Connecting with Brandon Davishttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI isn't just a buzzword in oil and gas, it’s changing the game, and we’re breaking it down with someone who’s been in the trenches making it happen. From smarter fracking and streamlined drilling to navigating the chaos of legacy systems, this convo peels back the curtain on what it *really* takes to build tech that actually works in the field. We’re talking massive data, modular design, edge computing, and the art of blending innovation with boots-on-the-ground practicality. If you’re curious how AI is actually showing up in energy (and not just living in PowerPoints), you’ll want to hear this one.Click here to watch a video of this episode.00:00 - Intro00:37 - What Does Capsher Technology Do02:39 - Evolution of Software Development05:09 - Strengths of AI Technology06:26 - Overview of Collide Software09:04 - Understanding RAG Models10:09 - Implementing AI Solutions13:43 - Energy-Specific Software Development18:14 - High-Resolution Data Acquisition Techniques22:15 - Benefits of Containerization25:22 - Data Transfer to the Cloud29:20 - Frontend Technologies in Use30:33 - Introduction to GraphQL31:54 - Common Software Projects33:20 - Mobile Development Trends37:12 - AI-Assisted Software Development43:35 - AI Expectations vs. Reality47:34 - Journey into Technology50:45 - Speed Round55:56 - Where to Find Joshua Johnstonhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

What happens when a control room engineer gets fed up with clunky old systems and decides to rebuild them from the ground up? You get CruxOCM, a company shaking up pipeline automation with tools like PipeBot and GatherBot that sound like sci-fi but are very real (and very efficient). Vicki Knott shares how she went from pulp and paper mills to leading a tech company that blends first-principles engineering with machine learning to make pipelines safer, faster, and smarter. We talk outdated SCADA, automation that actually works, and how merging physics with AI is unlocking massive ESG potential in midstream.Click here to watch a video of this episode.00:00 - Intro00:50 - Best Places to Build Software Companies03:20 - Evaluating Canadian Tech Talent06:15 - Vicki's Journey to Krux14:14 - IIoT vs SCADA Explained15:27 - Overview of Krux's Services17:50 - The Journey of Krux19:34 - Pipet Technology Insights20:35 - Data Access Solutions23:35 - Historic vs Modern Architecture26:50 - OUTRO27:01 - Krux vs Competitors Analysis28:30 - Understanding the Technology Stack29:30 - Onboarding New Clients Effectively34:00 - Krux and Microsoft Fabric Integration36:10 - Optimizing Maintenance with Krux37:23 - Krux's Connection to SCADA Systems39:14 - Impact of AI and LLMs on Business43:37 - Focus and Task Management Challenges44:29 - ESG Benefits in Energy Sector47:54 - Optimizing Energy Infrastructure Strategies49:25 - Understanding the Energy Sector50:55 - Silicon Valley's View on Energy Industry54:28 - Recommended Books for Entrepreneurs55:09 - Exploring Canadian Snacks56:24 - Dining Recommendations in Calgary57:20 - Favorite Vacation Destinations58:01 - Understanding Canadian Slang58:34 - Connecting with Vicki Knotthttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

AI in oil and gas isn't just a buzzword, it's actually solving real problems out in the field. On this episode, we chat with someone who's knee-deep in the data trenches and building tools that make workflows faster, smarter, and way less painful. From using vibration data to predict when gear’s about to break, to training AI to read and summarize boring old PDFs, it’s all about turning raw info into real decisions. There’s even talk of automating SQL queries (so your data team can finally breathe). If you’ve ever wrestled with messy data or clunky systems, this one’s got some seriously cool insights.Click here to watch a video of this episode.00:00 - Intro01:24 - Mistral's New API05:02 - Multimodal Models in Data Pipelines07:03 - Generative vs Deterministic Models10:56 - Generative AI Program11:52 - Generative AI in Oil & Gas Industry18:05 - RAG Memory Capabilities19:50 - Training Your Data Team23:34 - Visa's Data Architecture Insights33:10 - Why Choose Databricks35:00 - Text to SQL Transformation35:52 - Generative AI Applications37:55 - AutoML Overview43:19 - Technical Skills Erosion in Data45:30 - N-Gen Projects and Innovations48:40 - Vibration Data as Physical Measurement51:33 - Insights from Vibration Data55:26 - Personal Journey in Data59:23 - Empowering Subject Matter Experts1:00:09 - Formal Education vs Self-Taught Paths1:05:35 - Speed Round1:10:15 - End1:10:48 - Favorite Vacation Destination1:11:38 - Contact Ryan and Social Linkshttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters