A an overview of machine learning methods to estimate real-time pore pressure at the drill bit using drilling dynamics data 

An review of the practical applications of synthetic AI-predicted logs for calculating geomechnical properties and improve drilling efficiency

A unique workflow for rock property prediction based on supervised artificial neural networks to characterize carbonate reservoirs in the Santos Basin, Brazil.

A study that focuses on using machine learning to better define landing zones in thin targets.

A study that covers the fundamentals of machine learning and autonomous real-time earth models.

Using machine learning to create formation evaluation logs from drilling data in the Gulf of Mexico.

Optimization of well completions using QFrac in the Bakken Formation.

Study focused on the growth of fractures from stage clusters.