Nature

Machine learning model optimization for compressional sonic log prediction using well logs in Shahd SE field, Western Desert, Egypt

Compressional sonic logs is one of the important logs for subsurface characterization, reservoir evaluation, and wellbore stability analysis. However, acquiring these logs is often challenging due to ...
Nature

Stacked machine learning models for accurate estimation of shear and Stoneley wave transit times in DSI log

Estimating the elastic properties and Stoneley wave transit times using log data is of great importance within the oil and gas sector as well as in geological exploration 1. These parameters are ...
Linux Journal

Unlocking Data Science Potential Understanding Machine Learning and Data Analysis with JupyterLab

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...