Why is it so hard to forecast young wells in the Permian? In this episode of The Novi AI Roundup, we explore the challenges of early-life production forecasting, and how machine learning can outperform traditional decline curve models when data is sparse and variable. Drawing from the technical paper “Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin”, we compare ML vs. Arps across a wide range of well types, and reveal what’s really happening in months 3 through 12.This podcast episode is based on the technical paper “Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin”, authors: K. Sathaye¹ S. Iceton, T. Cross. Download the full paper here.