Evaluation of automated lithology classification architectures using highly-sampled wireline logs for coal exploration

Tom Horrocks, Eun-Jung Holden, Daniel Wedge

Abstract: Highlights•Machine learning methods classify lithologies using highly sampled wireline logs.•Different classifiers and architectures are compared for practical industry use.•A committee architecture provides parallelised well-based lithology classification.•Lithology classifiers are optimised for coal exploration.