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  • 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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    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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    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.
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    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.

    Join the conversation shaping the future of energy.
    Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.
    Apply today at collide.io

    Click here to watch a video of this episode.
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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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    Apply today at collide.io

    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
  • EP 63: Vicki Knott from CruxOCM
    2025/04/04

    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.

    Join the conversation shaping the future of energy.
    Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.
    Apply today at collide.io

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

    00:00 - Intro
    00:50 - Best Places to Build Software Companies
    03:20 - Evaluating Canadian Tech Talent
    06:15 - Vicki's Journey to Krux
    14:14 - IIoT vs SCADA Explained
    15:27 - Overview of Krux's Services
    17:50 - The Journey of Krux
    19:34 - Pipet Technology Insights
    20:35 - Data Access Solutions
    23:35 - Historic vs Modern Architecture
    26:50 - OUTRO
    27:01 - Krux vs Competitors Analysis
    28:30 - Understanding the Technology Stack
    29:30 - Onboarding New Clients Effectively
    34:00 - Krux and Microsoft Fabric Integration
    36:10 - Optimizing Maintenance with Krux
    37:23 - Krux's Connection to SCADA Systems
    39:14 - Impact of AI and LLMs on Business
    43:37 - Focus and Task Management Challenges
    44:29 - ESG Benefits in Energy Sector
    47:54 - Optimizing Energy Infrastructure Strategies
    49:25 - Understanding the Energy Sector
    50:55 - Silicon Valley's View on Energy Industry
    54:28 - Recommended Books for Entrepreneurs
    55:09 - Exploring Canadian Snacks
    56:24 - Dining Recommendations in Calgary
    57:20 - Favorite Vacation Destinations
    58:01 - Understanding Canadian Slang
    58:34 - Connecting with Vicki Knott

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    1 時間 1 分
  • EP 62: Nick Fornicola from Beusa Energy
    2025/03/28

    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.

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    Apply today at collide.io

    Click here to watch a video of this episode.
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    00:00 - Intro
    01:24 - Mistral's New API
    05:02 - Multimodal Models in Data Pipelines
    07:03 - Generative vs Deterministic Models
    10:56 - Generative AI Program
    11:52 - Generative AI in Oil & Gas Industry
    18:05 - RAG Memory Capabilities
    19:50 - Training Your Data Team
    23:34 - Visa's Data Architecture Insights
    33:10 - Why Choose Databricks
    35:00 - Text to SQL Transformation
    35:52 - Generative AI Applications
    37:55 - AutoML Overview
    43:19 - Technical Skills Erosion in Data
    45:30 - N-Gen Projects and Innovations
    48:40 - Vibration Data as Physical Measurement
    51:33 - Insights from Vibration Data
    55:26 - Personal Journey in Data
    59:23 - Empowering Subject Matter Experts
    1:00:09 - Formal Education vs Self-Taught Paths
    1:05:35 - Speed Round
    1:10:15 - End
    1:10:48 - Favorite Vacation Destination
    1:11:38 - Contact Ryan and Social Links

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    1 時間 14 分