How early is too early to trust a forecast? In this episode of The Novi AI Roundup, we explore how machine learning is helping engineers generate accurate PDP forecasts, even when only a few months of production data are available. Drawing from the technical paper “How Much Data is Needed to Create Accurate PDP Forecasts?”, we compare ML vs. traditional decline methods, highlight key sources of bias, and share what engineers need to know before forecasting wells with limited history.

This podcast episode is based on the technical paper “How Much Data is Needed to Create Accurate PDP Forecasts?”, authors: Austin Lim, Alexander Cui, Ted Cross. Download the full paper here.