HeyJaredThe Novi AI Roundup
Welcome to The Novi AI Roundup, the podcast that brings you sharp insights, bold conversations, and repurposed gems from our most impactful content at Novi Labs.
- Indexed episodes, last 90 days
- 6
- Latest publication
- Sep 10, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 16, 2026
Latest episodes
EP 39 · Designing Depletion Features for Parent–Child Modeling (opens the original)
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How should machine learning account for the impact of parent-well depletion on future production? In this episode of The Novi AI Roundup, we explore how different depletion features can change the way ML models forecast parent–child interactions. Drawing from the URTeC 2026 paper “Designing Depletion Features for Parent–Child Modeling: Comparing Time, Distance, and Volume–Distance Formulations in Machine-Learning Workflows,” we examine why distance-weighted depletion can better capture the relat
EP 38 · Well Spacing Impacts Water Production in The Midland Basin (opens the original)
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How does well spacing influence water production in the Midland Basin? In this episode of The Novi AI Roundup, we explore how machine learning can help quantify the relationship between spacing and water production. Drawing from the URTeC 2026 paper “Well Spacing Impacts Water Production in the Permian Basin,” we examine why spacing parameters and parent well history are important predictors of water cut, how the timing of child well completions can affect water production, and what these insigh
EP 37 · Making an Impact: Machine-Learning-Ready Metrics for Ultra-Tight Infill Development (opens the original)
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How do you accurately forecast wells in increasingly crowded developments? In this episode of The Novi AI Roundup, we explore how machine-learning-ready metrics can better capture the complex interactions between wells in ultra-tight infill developments. Drawing from the technical paper “Making an Impact: Machine-Learning-Ready Metrics for Ultra-Tight Infill Development”, we examine how surrounding development influences well performance, why traditional spacing metrics can fall short, and how b
EP 36 · Assessing The Impact Of Prior Depletion On Future Inventory In The Delaware Basin (opens the original)
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How does today's production impact tomorrow's inventory? In this episode of The Novi AI Roundup, we explore how prior depletion is reshaping future development opportunities in the Delaware Basin. Drawing from the technical paper “Assessing the Impact of Prior Depletion on Future Inventory in the Delaware Basin”, we examine how machine learning quantifies depletion effects on undeveloped locations, reveals changes in inventory quality, and helps operators make more informed development and capit
EP 35 · Deriving Time-Dependent Scaling Factors for Completions Parameters in the Williston Basin using a Multi-Target Machine Learning Model and Shap Values (opens the original)
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How does the impact of completion design change as a well matures? In this episode of The Novi AI Roundup, we explore how a multi-target machine learning model and SHAP values reveal the changing influence of completion parameters over a well's life in the Williston Basin. Drawing from the technical paper “Deriving Time-Dependent Scaling Factors for Completions Parameters in the Williston Basin using a Multi-Target Machine Learning Model and SHAP Values”, we examine how time-dependent scaling im
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