Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from Brazilian carbonate reservoirs
Published in Journal of Petroleum Science and Engineering, 2021
| Field | Value |
|---|---|
| Publication type | Journal article |
| Authors | Clecio R Bom, Manuel Blanco Valentin, Bernardo MO Fraga, Jorge Campos, Bernardo Coutinho, Luciana O Dias, Elisangela L Faria, Marcio P de Albuquerque, Marcelo P de Albuquerque, Maury Duarte Correia |
| Venue | Journal of Petroleum Science and Engineering |
| Year | 2021 |
| Citations | 27 |
| Tags | imaging, geoscience, doi |
| Volume | 201 |
| Pages | 108361 |
| Publisher | Elsevier |
Abstract
Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from Brazilian carbonate reservoirs.
BibTeX
@article{bom2021bayesian,
author = "Bom, Clecio R and Valentin, Manuel Blanco and Fraga, Bernardo MO and Campos, Jorge and Coutinho, Bernardo and Dias, Luciana O and Faria, Elisangela L and de Albuquerque, Marcio P and de Albuquerque, Marcelo P and Correia, Maury Duarte",
title = "Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from Brazilian carbonate reservoirs",
journal = "Journal of Petroleum Science and Engineering",
volume = "201",
pages = "108361",
year = "2021",
publisher = "Elsevier"
}
Recommended citation: Clecio R Bom, Manuel Blanco Valentin, Bernardo MO Fraga, Jorge Campos, Bernardo Coutinho, Luciana O Dias, Elisangela L Faria, Marcio P de Albuquerque, Marcelo P de Albuquerque, Maury Duarte Correia (2021). "Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from Brazilian carbonate reservoirs." Journal of Petroleum Science and Engineering. 201, 108361.
Download Paper