Corpus ID: 28576434

# Facies classification from well logs using an inception convolutional network

@article{Tschannen2017FaciesCF,
title={Facies classification from well logs using an inception convolutional network},
author={V. Tschannen and M. Delescluse and M. Rodriguez and Janis Keuper},
journal={ArXiv},
year={2017},
volume={abs/1706.00613}
}
The idea to use automated algorithms to determine geological facies from well logs is not new (see e.g Busch et al. (1987); Rabaute (1998)) but the recent and dramatic increase in research in the field of machine learning makes it a good time to revisit the topic. Following an exercise proposed by Dubois et al. (2007) and Hall (2016) we employ a modern type of deep convolutional network, called \textit{inception network} (Szegedy et al., 2015), to tackle the supervised classification task and… Expand
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