Applicability of deep neural networks for lithofacies classification from conventional well logs: An integrated approach
- DOI
- 10.1016/j.ptlrs.2024.01.011
- Published
- 2024-09
- Container
- Petroleum Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ptlrs.2024.01.011,
title = {Applicability of deep neural networks for lithofacies classification from conventional well logs: An integrated approach},
author = {Saud Qadir Khan and Farzain Ud Din Kirmani},
year = {2024},
journal = {Petroleum Research},
doi = {10.1016/j.ptlrs.2024.01.011},
url = {https://doi.org/10.1016/j.ptlrs.2024.01.011}
}RIS
TY - JOUR TI - Applicability of deep neural networks for lithofacies classification from conventional well logs: An integrated approach AU - Saud Qadir Khan AU - Farzain Ud Din Kirmani PY - 2024 JO - Petroleum Research DO - 10.1016/j.ptlrs.2024.01.011 UR - https://doi.org/10.1016/j.ptlrs.2024.01.011 ER -
APA
Khan, S. Q., & Kirmani, F. U. D. (2024). Applicability of deep neural networks for lithofacies classification from conventional well logs: An integrated approach. Petroleum Research. https://doi.org/10.1016/j.ptlrs.2024.01.011
Source records
- crossref · retrieved 2026-09-27T15:25:43.420Z