All Episodes
The Novi AI Roundup — 30 episodes
EP 29 · Quantifying the Diminishing Impact of Completions Over Time Across the Bakken, Eagle Ford, and Wolfcamp Using a Multi-Target Machine Learning Model and SHAP Values
EP 28 · Use of Machine Learning Production Driver Cross-Sections for Regional Geologic Insights in the Bakken-Three Forks Play
EP 27 · Are Unconventional Well Performance Gains Exhausted?
EP 26 · Autoregressive and Machine Learning Driven Production Forecasting – Midland Basin Case Study
EP 25 · Using Machine Learning to Customize Development Unit Spacing for Maximum Acreage Value
EP 24 · Understanding the Spacing, Completions, and Geological Influences on Decline Rates and B Values
EP 23 · Accelerating field optimization for Shell in the Neuquén Basin using Novi Labs Machine Learning
EP 22 · The Diminishing Returns of Lateral Length Across Different Basins
EP 21 · How Much Better Could We Have Done? Using a Time Machine Method to Quantify the Impact of Incremental Geologic data on Machine Learning Forecast Accuracy
EP 20 · How does the impact of completions change over the life of a well? A comparison across the major US unconventional plays using machine learning
EP 19 · How Much Data is Needed to Create Accurate PDP Forecasts?
EP 18 · Understanding the Drivers of Parent-child Depletion: A Machine Learning Approach
EP 17 · Revealing the Production Drivers for Refracs in the Williston Basin
EP 16 · Enhancing Production Efficiency: The Impact of Precision Targeting in the Midland Basin
EP 15 · Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin
EP 14 · Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin
EP 13 · Analyzing Midland Basin Well Performance and Future Outlook with Machine Learning
EP 12 · Dallas Fed Energy Survey Q3 2025
EP 11 · Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study
EP 10 · Unpacking the Uinta Basin: the next great oil play?
EP 9 · Using Machine Learning and Data Analytics to Improve Type Curve Generation and Optimize Field Development Planning in Argentina's Vaca Muerta Formation
EP 8 · When Numbers Lie: De-Biasing Horizontal Well Production Datasets with Causal Forecasting
EP 7 · Using Machine Learning To Forecast Longer Duration Inventory Across Rockies Unconventional Plays
EP 6 · A Bottoms-Up Analysis of Development Scenarios in the Midland Basin Using Machine Learning
EP 5 · Describing Well Spacing: Dimensionality at Work
EP 4 · Can Transfer Learning Be Used to Forecast Production in Frontier Basins? A Case Study from the Powder River Basin
EP 3 · Optimizing Well Spacing to Maximize Horizontal Well Performance and Recovery
EP 2 · How Public Water Production Records Fail to Capture Reality in Tight Oil Wells
EP 1 · Can 100,000 Wells Reveal What Single-Basin Analysis Misses? The Hidden Biases Undermining Unconventional Production Models
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