Predicting drilling fluid lost circulation volume and radius using petrophysical well logs and machine learning approaches
- DOI
- 10.1038/s41598-026-56770-5
- Published
- 2026-06-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-56770-5,
title = {Predicting drilling fluid lost circulation volume and radius using petrophysical well logs and machine learning approaches},
author = {Farshad Sadeghpour and Seyed Reza Shadizadeh and Majid Akbari},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-56770-5},
url = {https://doi.org/10.1038/s41598-026-56770-5}
}RIS
TY - JOUR TI - Predicting drilling fluid lost circulation volume and radius using petrophysical well logs and machine learning approaches AU - Farshad Sadeghpour AU - Seyed Reza Shadizadeh AU - Majid Akbari PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-56770-5 UR - https://doi.org/10.1038/s41598-026-56770-5 ER -
APA
Sadeghpour, F., Shadizadeh, S. R., & Akbari, M. (2026). Predicting drilling fluid lost circulation volume and radius using petrophysical well logs and machine learning approaches. Scientific Reports. https://doi.org/10.1038/s41598-026-56770-5
Source records
- crossref · retrieved 2026-09-26T07:55:31.262Z