Paper Summary

The primary objective of the Analytics Ready LAS (ARLAS) project is to produce complete well logs that will provide insight for different types of subsurface intelligence problems such as lithofacies picking, velocity model building and production prediction. A basin-scale machine learning pipeline was developed to predict density, gamma ray, neutron porosity, deep resistivity and compressional sonic.