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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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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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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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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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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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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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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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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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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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.

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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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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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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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Oil and gas engineers drowning in data, meet your new best friend—Wise Rock. We’re talking lightning-fast analytics, effortless communication, and a platform built to make your life easier. Brock Meyer, the brains behind it, joins us to share how his tech is slashing downtime, streamlining workflows, and bringing exception-based surveillance to the oilfield. Think real-time SCADA data, production forecasts, and well histories all in one sleek, intuitive interface. No more clunky systems or data black holes—just clean, contextualized insights that actually help you get ahead. Brock’s journey from petroleum engineer to tech founder is packed with lessons on modern data stacks, AI-driven decision-making, and why human-centered design is the future of oil and gas.

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00:00 - Intro
00:48 - Catching Up
02:04 - Guest Introduction
05:48 - Importance of Communication in Data Platforms
08:52 - Foundation for AI/ML Models
09:58 - Wise Rock’s Value Proposition
12:45 - Early Days of Wise Rock
21:22 - Data Visualization Techniques
26:25 - Technology Stack Overview
30:14 - Why Choose Dagsure
33:53 - Market Penetration Strategies
39:43 - Exploring TimescaleDB
40:50 - Tech Deep Dive
42:40 - Wise Rock's Industry Impact
45:54 - Importance of Quality Data
49:25 - Future Plans for Wise Rock
52:50 - IronPython Reference Discussion
55:44 - Speed Round Q&A
59:58 - Where to Find Brock Meyer
1:00:04 - Contacting Brock Meyer
1:01:08 - Final Thoughts on the Episode
1:01:33 - Outro

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From Kazakhstan to Louisiana and now shaking up the oil and gas industry, Onega Ulanova’s story is as bold as her startup, QMS2GO. This AI-powered tool is turning the grind of quality management into a smooth operation—automating audits, crafting training materials, and capturing wisdom from seasoned machinists. Inspired by her own experience as a quality auditor, Onega created QMS2GO to save quality managers hours (if not weeks!) of manual work. With plans to grow, fundraise, and launch a beta release, this tech is set to make waves for companies big and small. Plus, who doesn’t love a smart AI sidekick handling the heavy lifting?

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00:00 - Intro
00:55 - What is QMS2GO? | Quality Management System
03:25 - Auditing Process | Compliance & Standards
11:07 - Journey to Louisiana Tech | Educational Background
12:01 - Moving to the US from Kazakhstan | Immigration Experience
14:15 - Starting Your Own Company | Entrepreneurship Journey
18:55 - LA New Product Development | Innovation Strategies
21:20 - Transition from Industrial to Consumer Products | Market Shift
24:24 - Early Products | Product Development History
25:04 - Shark Tank | Pitching to Investors
27:19 - QMS2GO Overview | Business Model
29:10 - Building for Different Industries | Market Adaptation
31:16 - Return to Auditing | Career Path
33:35 - Bootstrapping | Funding Strategies
34:34 - Responsibility of Taking Other People's Money | Financial Ethics
38:44 - Strategic Investor Relationships | Funding Advice
41:40 - Investor Skepticism | Business Viability
45:08 - QMS2GO’s Users | Customer Base
51:13 - How QMS2GO is Being Used | Practical Applications
52:56 - Importance of User Feedback | Continuous Improvement
55:33 - Raising Funds | Fundraising Strategies
56:50 - Pricing Model | Business Strategy
01:01:23 - AI in Cold Outreach | Technology in Marketing
01:03:34 - Speed Round | Quick Questions
01:03:54 - Things to Do in Ruston | Local Attractions
01:04:33 - Best Restaurant in Houston | Dining Recommendations
01:06:23 - Running a Company in Ruston | Business Environment
01:08:04 - Best Place to Eat in Shreveport | Food Recommendations
01:09:02 - How to Reach Andiega | Contact Information

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