Revolutionizing Fracking with Real-Time Data | BDE 10.08.25

Real-time frac data isn’t some future concept, it’s here, and it’s changing the way completions get done. Chuck Yates sat down with folks from ProFrac and Seismos to break down how AI, automation, and acoustic sensing are turning traditional fracking on its head. Matt Wilks and Panos Adamopoulos talk about ProPilot 2.0 and how closed-loop fracturing is giving operators instant feedback to fine-tune every stage. Then Larry Carroll and Steven Bourgoyne take it further, showing how machine learning and data-driven workflows are pushing completions toward adaptive, even autonomous, operations. From cutting costs to squeezing every drop of performance, this one’s a look at how the oilfield is starting to feel a lot more like sci-fi.

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0:00 Introduction and On-Site Experience
0:43 Frac Automation Evolution: From ProPilot to Real-Time Adaptation
2:07 Seismos Partnership: Real-Time Subsurface Data and Closed Loop Fracturing
5:05 Cost Savings vs Well Performance: What Real-Time Data Enables
7:10 Breaking Down Engineering Silos with Real-Time Collaboration
10:06 Supervised vs Unsupervised Closed Loop: Control and Customization
14:01 Role of AI in Frac Operations and Data Management
16:11 Case Study: Equipment Optimization and Millions Saved
18:26 Adaptive Systems: AI + Physics-Based Measurement in Action
20:49 Human Expertise in an AI World: Replacing or Enhancing?
23:16 How the ProFrac–Seismos Partnership Came Together
25:32 Looking Ahead: Fully Autonomous Fields and Future Inventory
29:35 Frac Performance Measurement: Defining Good vs Bad
33:11 Customer Collaboration: Building Prescriptive Completions Together
36:40 Isolating Variables: Why Controlled Change Matters
40:13 Real-World Results: Cost and Performance Improvements
42:31 Future Roadmap: More Intelligent, Automated, Efficient Fracs
45:33 Refracs and Unlocking More Value from Existing Wells
47:07 Overcoming Customer Risk Aversion to Innovation
49:06 True Partnerships: EMPs and Service Companies Working Together
51:24 Rethinking Tribal Knowledge: AI as a Force Multiplier
53:48 Final Thoughts and Closing Remarks

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