What does inventory look like beyond the Permian? In this episode of The Novi AI Roundup, we explore how machine learning is helping engineers forecast longer-duration inventory across Rockies unconventional plays. Drawing from our URTeC 2025 paper “Using Machine Learning To Forecast Longer Duration Inventory Across Rockies Unconventional Plays”, we discuss how AI models built for variability and data scarcity are improving confidence in under-drilled areas, and why forecasting uncertainty is critical when inventory becomes strategy.This podcast episode is based on the technical paper “Using Machine Learning To Forecast Longer Duration Inventory Across Rockies Unconventional Plays”, authors: B. Myers and G. A. Quintero. The paper was presented at URTeC 2025. Download the full paper here.