A practical application of synthetic logs derived from drilling parameters for geomechanical modeling and drilling optimization

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

Novel machine learning workflow for rock property prediction in the geologically complex presalt Santos basin, Brazil

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

Using Machine Learning to Better Define Landing Zones

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

Seeing-ahead-of-the-bit: A game changer enabled by Machine Learning

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

Artificial Intelligence Logs for Formation Evaluation Using Case Studies in Gulf of Mexico and Trinidad & Tobago

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

Optimization of Bakken Well Completions in a Multivariate World

Optimization of well completions using QFrac in the Bakken Formation.

Big Data Yields Completion Optimization: Using Drilling Data to Optimize Completion Efficiency in a Low Permeability Formation

Study focused on the growth of fractures from stage clusters.