Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks

Published in Journal of Petroleum Science and Engineering, 2020

FieldValue
Publication typeJournal article
AuthorsLuciana Olivia Dias, Clécio R Bom, Elisangela L Faria, Manuel Blanco Valentín, Maury Duarte Correia, Márcio P De Albuquerque, Marcelo P De Albuquerque, Juliana M Coelho
VenueJournal of Petroleum Science and Engineering
Year2020
Citations118
Tagsneural-networks, imaging, geoscience, doi
Volume191
Pages107099
PublisherElsevier

Abstract

Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks.

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BibTeX

@article{dias2020automatic,
    author = "Dias, Luciana Olivia and Bom, Cl{\'e}cio R and Faria, Elisangela L and Valent{\'\i}n, Manuel Blanco and Correia, Maury Duarte and De Albuquerque, M{\'a}rcio P and De Albuquerque, Marcelo P and Coelho, Juliana M",
    title = "Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks",
    journal = "Journal of Petroleum Science and Engineering",
    volume = "191",
    pages = "107099",
    year = "2020",
    publisher = "Elsevier"
}

Recommended citation: Luciana Olivia Dias, Clécio R Bom, Elisangela L Faria, Manuel Blanco Valentín, Maury Duarte Correia, Márcio P De Albuquerque, Marcelo P De Albuquerque, Juliana M Coelho (2020). "Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks." Journal of Petroleum Science and Engineering. 191, 107099.
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