2 papers with code • 0 benchmarks • 0 datasets
These leaderboards are used to track progress in Facies Classification
In addition to making the dataset and the code publicly available, this work helps advance research in this area by creating an objective benchmark for comparing the results of different machine learning approaches for facies classification.
Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature Augmentation
This paper shows the inclusion of physics-motivated feature interaction in feature augmentation can further improve the capability of machine learning in rock facies classification.