The past few years have seen increased interest in the application of machine learning in the industry, specifically to seismic interpretation.

This article benchmarks advanced neural network algorithms against standard probabilistic lithology classifications from seismic data calibrated to well information, to understand their benefits and limitations, and to check which approach works best under which circumstances.