EP 9 · Using Machine Learning and Data Analytics to Improve Type Curve Generation and Optimize Field Development Planning in Argentina's Vaca Muerta Formation

How do you build reliable type curves in one of the world’s most geologically complex shale plays? In this episode of The Novi AI Roundup, we explore how machine learning is helping engineering teams in Argentina’s Vaca Muerta formation generate better type curves and improve field development planning. Drawing from our URTeC paper “Using Machine Learning and Data Analytics to Improve Type Curve Generation and Optimize Field Development Planning in Argentina's Vaca Muerta Formation”, we discuss how AI can de-bias curves, incorporate parent/child effects, and scale insight across operators and acreage blocks.This podcast episode is based on the technical paper “Using Machine Learning and Data Analytics to Improve Type Curve Generation and Optimize Field Development Planning in Argentina's Vaca Muerta Formation”, authors: David Delgado, Charles Kosa, and Peter Zannitto. Download the full paper here.