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Predicting rate of penetration (ROP) based on a deep learning approach: A case study of an enhanced geothermal system in Pohang, South Korea.
Wanhyuk Seo
Gyung Won Lee
Kwang Yeom Kim
Tae-Sub Yun
Published in:
Earth Sci. Informatics (2024)
Keyphrases
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deep learning
south korea
unsupervised learning
united states
unsupervised feature learning
machine learning
restricted boltzmann machine
case study
deep architectures
supervised learning
mental models
weakly supervised
e government
domain specific
decision support system
high dimensional
information retrieval