An automatic sediment-facies classification approach using machine learning and feature engineering

Abstract

Detection of sedimentary facies and their boundaries can be automated effectively by a combination of a machine learning classification model and feature engineering, suggesting analyses of X-ray fluorescence profiles of sedimentary cores from North Sea tidal flats in Germany