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  • EP 71: Mathias Lia Carlsen from whitson
    2025/08/15

    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.

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    00:00 - Intro
    01:05 - Norway Geography Overview
    04:26 - Understanding WITSML Standards
    05:55 - Introduction to WITS Protocol
    12:45 - Data Sovereignty Explained
    17:15 - SOC 2 Compliance for Software
    17:37 - International Market Entry Advice
    19:58 - Software Portability Across Clouds
    22:06 - Strategies for Reducing Cloud Costs
    23:20 - COVID-19 Impact on Cloud Adoption
    24:10 - Cloud Provider Flexibility
    25:15 - Whitson Product Overview
    27:28 - Whitson PBT Features
    29:10 - Whitson Spacing Solutions
    34:51 - Well-by-Well Analysis
    39:21 - Watson Plus Overview
    43:37 - Data Integration Strategies
    47:10 - Future of WITSML and RESQML
    52:40 - Importance of Software Integrations
    54:09 - Leveraging APIs for Growth
    55:30 - Snowflake Data Solutions
    59:23 - Speed Round Q&A
    1:06:00 - Contacting Whitson
    1:07:45 - Closing Remarks
    1:09:33 - Unique Aspects of Collide Energy
    1:13:14 - Outro

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    1 時間 15 分
  • EP 70: Michael Egan from Bunting Labs
    2025/08/08

    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.


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    Click here to view the episode transcript.

    00:00 - Intro
    01:25 - Michael Egan, Bunting Labs Co-Founder
    03:51 - Billion Dollar Idea in Tech
    05:52 - Fencing Solutions in GIS
    07:41 - Overview of Bunting Labs
    09:44 - Understanding GIS Technology
    12:41 - Mundi and Spatial Data Interaction
    15:42 - Comparing Mundi and Bunting Labs
    19:20 - Target Audience for Mundi
    21:34 - Energy Use Cases in GIS
    23:16 - Plat Digitizer Overview
    24:51 - Primary Use Cases of Mundi
    27:58 - Embedding Mundi in Applications
    30:33 - Base Map Compatibility in GIS
    33:00 - Maximizing QGIS Utilization
    34:08 - Computer Vision and LLM Integration
    37:30 - Future of WebGIS Technology
    39:48 - Advancements in Computer Vision
    43:20 - Self-Hosting Solutions Explained
    46:20 - Dataset Iteration Techniques
    48:27 - Cursor in Oil and Gas Industry
    53:36 - Cursor Applications in GIS Industry
    01:00:03 - Exploring the Tech Stack
    01:02:42 - Choosing a Cloud Provider
    01:03:41 - Non-OpenAI Model Preferences
    01:04:16 - Favorite Vacation Destinations
    01:04:45 - YC Company Highlights
    01:06:44 - Where to Find Michael Egan
    01:07:50 - Outro

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    1 時間 9 分
  • EP 69: Bella Kelada-Khalil from Midnight Marketing
    2025/06/27

    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.

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    Click here to watch a video of this episode.
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    00:00 - Intro
    01:40 - Flipping the Table
    07:00 - Journey to AI Adoption
    13:34 - Understanding AI, ML, and LLM
    15:37 - AI vs Machine Learning vs LLMs Explained
    17:23 - The Power of LLMs
    20:55 - Starting Platforms for AI
    22:24 - Free vs Paid AI Models
    28:15 - Starting Points in Petroleum Engineering
    30:06 - Essential Learning Before AI
    31:42 - Building a Data Foundation
    34:40 - LinkedIn's Data Insights
    37:25 - AI-Generated Video Content
    41:10 - Authenticity in AI Creations
    44:35 - AI in Due Diligence Processes
    49:00 - Training Duration for AI Models
    51:15 - Optimal Efficiency in AI
    54:51 - Successful AI Use Cases in Production
    58:50 - Tech Stack Essentials
    1:03:04 - Data Accessibility Challenges
    1:08:24 - Barriers to AI Adoption in Oil & Gas
    1:12:15 - LLMs vs Other Tech Hypes
    1:17:46 - Outro

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    1 時間 22 分
  • EP 68: Cameron Snow from Danomics
    2025/06/20

    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.

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    Click here to watch a video of this episode.
    Click here to view the episode transcript.

    00:00 - Intro
    01:00 - EOG Acquires INNO
    03:39 - Understanding Danomics
    07:18 - Importance of Cloud for Danomics
    10:38 - Cloud First Strategy
    14:17 - Data Residency Explained
    15:42 - Founding Danomics
    17:34 - Coding Journey
    22:54 - Programming Languages Overview
    25:14 - Managing Complex Equations
    29:05 - Handling Customer Requests
    32:54 - Significance of UI/UX Design
    36:40 - Meeting User Expectations
    38:54 - Software Integration with Applications
    43:25 - Data Management and Organization
    50:07 - Coding for Geoscientists and Engineers
    59:48 - AI's Impact on Oil and Gas Industry
    01:00:02 - AI's Limitations in Oil and Gas
    01:05:25 - Speed Round
    01:09:10 - Contacting Cam
    01:10:00 - Outro

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    1 時間 12 分
  • EP 67: Jeff Krimmel from Krimmel Strategy Group
    2025/06/13

    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.

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    Click here to watch a video of this episode.
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    00:00 - Intro
    04:05 - Snowflake Summit Insights
    06:22 - Data Utilization by Jeff
    11:28 - Over-engineering in Decision Making
    14:08 - Effective Forecasting Techniques
    15:21 - Understanding Variable Importance
    16:18 - Confidence in Decision-Making Processes
    19:20 - Engineering vs Energy Industry Decisions
    21:20 - The Role of Assumptions in Analysis
    22:50 - Proof of Work Explained
    23:30 - Managing Risk and Uncertainty in Energy
    27:17 - Overview of Crudele Strategy Group
    27:31 - Typical Project Workflow
    27:37 - Tools Used by Matt
    31:17 - Foundations of Energy Sector
    32:56 - Value of Third-Party Perspectives
    34:40 - Data Abundance in Energy Sector
    35:55 - Jeff's Data Acquisition Methods
    38:30 - Understanding OData
    41:40 - Challenges with APIs
    43:20 - Google Sheets Scripting Techniques
    46:40 - Integrating DuckDB with Google Sheets
    48:37 - Chart Visualization Insights
    50:49 - Cost of DIY Solutions
    52:47 - Trusting AI in Decision Making
    58:18 - Speed Round Discussion
    58:20 - Jacob’s Startup in Energy
    58:29 - Would You Rather: C++ vs Fortran
    59:10 - Favorite Houston Restaurant Recommendations
    1:00:08 - Favorite Scripting Language Choices
    1:04:36 - Cancun Travel Insights
    1:07:21 - How to Connect with Jeff
    1:08:03 - Collide Platform Overview
    1:09:39 - Building a Community: The Grind
    1:10:27 - Growth Strategies for Collide
    1:11:09 - The Endless Journey in Software Development
    1:11:35 - Conclusion on Software Development Challenges
    1:11:50 - The Ongoing Nature of Development

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    1 時間 13 分
  • EP 66: Cam Sinclair from SmartChain
    2025/06/06

    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.

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    Click here to watch a video of this episode.
    Click here to view the episode transcript.

    00:00 - Guest Intro
    01:15 - Cam’s Background
    07:28 - Starting SmartChain
    10:36 - Origin of SmartChain
    13:18 - Overview of SmartChain
    17:47 - Challenges in Digitizing Field Tickets
    23:00 - Impact on Cash Flow
    24:40 - Understanding DSO and Its Importance
    26:42 - Average DSO & DIR Analysis
    28:44 - Case Study 1: Offshore Drilling Insights
    30:49 - Case Study 2: Performance Contract Overview
    32:40 - Strategies for Creating Better Contracts
    39:37 - Addressing Pushback and Objections
    41:15 - Mutual Benefits for Operators and Service Companies
    46:15 - Charging Models Explained
    48:42 - Successful Oil and Gas Startups
    50:35 - Role of Blockchain in Energy
    57:17 - Closing Thoughts
    57:58 - Favorite Rugby Team
    58:10 - Book Recommendations
    58:54 - Favorite Speculative Crypto
    01:00:34 - Favorite Vacation Spot
    01:01:31 - Connecting with Cameron

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    1 時間 3 分
  • EP 65: Brandon Davis from AFE Leaks
    2025/05/23

    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.

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    00:00 - Intro
    01:29 - Enverus Acquisition $6B
    05:49 - Competing with IHS & Drillinginfo
    07:05 - Selling Strategies in Energy Sector
    11:02 - Role of Geologists in Industry
    13:07 - Understanding Reserves in Energy
    15:22 - AFs and AFEs Explained
    23:00 - Data Extraction from PDFs
    24:34 - Optimizing Lease Operating Expenses (LOE)
    28:13 - Business Education for Engineers
    31:40 - Learning to Code for Professionals
    34:21 - Choosing the Right Model in Energy
    35:48 - Building Your Tech Stack
    39:57 - Data Insights and Interesting Findings
    43:28 - Sourcing Reliable Data
    45:54 - AFE Leaks’s Unique Business Model
    47:15 - Accessing AFE Leaks’s Data Resources
    48:20 - Identifying Target Customers
    51:30 - Entrepreneurship Journey Insights
    54:01 - Recommended Books for Entrepreneurs
    55:01 - Favorite R Packages for Data Analysis
    56:43 - Top Vacation Destinations
    57:59 - Best Restaurants Recommendations
    1:00:06 - Community Engagement
    1:02:22 - Connecting with Brandon Davis

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    1 時間 5 分
  • EP 64: Joshua Johnston from Capsher Technology
    2025/04/25

    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.

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    Click here to watch a video of this episode.
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    00:00 - Intro
    00:37 - What Does Capsher Technology Do
    02:39 - Evolution of Software Development
    05:09 - Strengths of AI Technology
    06:26 - Overview of Collide Software
    09:04 - Understanding RAG Models
    10:09 - Implementing AI Solutions
    13:43 - Energy-Specific Software Development
    18:14 - High-Resolution Data Acquisition Techniques
    22:15 - Benefits of Containerization
    25:22 - Data Transfer to the Cloud
    29:20 - Frontend Technologies in Use
    30:33 - Introduction to GraphQL
    31:54 - Common Software Projects
    33:20 - Mobile Development Trends
    37:12 - AI-Assisted Software Development
    43:35 - AI Expectations vs. Reality
    47:34 - Journey into Technology
    50:45 - Speed Round
    55:56 - Where to Find Joshua Johnston

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    58 分