Cognitive artificial intelligence for automated reservoir analysis and prediction of porosity, permeability, and fluid saturation
- DOI
- 10.1038/s41598-026-45375-7
- Published
- 2026-04-04
- 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/s41598-026-45375-7,
title = {Cognitive artificial intelligence for automated reservoir analysis and prediction of porosity, permeability, and fluid saturation},
author = {Fossong Guilianno and Kingsley Onyekwere Okengwu and Ugochi Adaku Okengwu},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-45375-7},
url = {https://doi.org/10.1038/s41598-026-45375-7}
}RIS
TY - JOUR TI - Cognitive artificial intelligence for automated reservoir analysis and prediction of porosity, permeability, and fluid saturation AU - Fossong Guilianno AU - Kingsley Onyekwere Okengwu AU - Ugochi Adaku Okengwu PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-45375-7 UR - https://doi.org/10.1038/s41598-026-45375-7 ER -
APA
Guilianno, F., Okengwu, K. O., & Okengwu, U. A. (2026). Cognitive artificial intelligence for automated reservoir analysis and prediction of porosity, permeability, and fluid saturation. Scientific Reports. https://doi.org/10.1038/s41598-026-45375-7
Source records
- crossref · retrieved 2026-09-26T05:22:20.521Z