『Energy Bytes』のカバーアート

Energy Bytes

Energy Bytes

著者： collide.
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 Welcome to Energy Bytes with John Kalfayan and Bobby Neelon. Your essential guide to the intersection of data and energy. This podcast dives deep into the world of energy, shedding light on how data, AI, and technology are revolutionizing this sector. Each episode equips listeners with insights into the most efficient tools and resources, paving the way for a data-driven future in energy. From technical nuances to broader industry trends, Energy Bytes offers an unparalleled perspective on the evolution of the energy industry. Join us as we decode the algorithms of energy, one byte at a time.2025 Digital Wildcatters, Inc 科学
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  • EP 69: Bella Kelada-Khalil from Midnight Marketing

    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.

    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
    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

    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.

    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
    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

    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.

    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
    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
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