Facies classification using unsupervised machine learning in geoscience

Facies are uniform sedimentary bodies of rock which are distinguishable enough from each other in terms of physical characteristics (e.g. sedimentary structure, grain sizes), deposited under the action of a relatively uniform hydrodynamic regime in a given depositional setting. The different types of facies based on these properties include sedimentary facies, lithofacies, seismic facies, etc. The physical and organic characteristics found in these rock units usually provide some insight into the different process and systems (e.g. depositional environments) which may have occurred in the region. Combinations of several facies with physical models and other geological data can help provide informative low-dimensional models of the geologic region, leading to better insights regarding the geology of the region. <a href="https://towardsdatascience.com/facies-classification-using-unsupervised-machine-learning-in-geoscience-8b33f882a4bf">Website</a>