Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.
- DOI
- 10.1038/s41598-024-84556-0
- Published
- 2025 Jan 2
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-84556-0,
title = {Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.},
author = {Kumar A and Rodrigues P and Kareem AK and Sekac T and Abdullaev S and Chohan JS and Manjunatha R and Rethik K and Dasi S and Kiani M},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-024-84556-0},
url = {https://doi.org/10.1038/s41598-024-84556-0}
}RIS
TY - JOUR TI - Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods. AU - Kumar A AU - Rodrigues P AU - Kareem AK AU - Sekac T AU - Abdullaev S AU - Chohan JS AU - Manjunatha R AU - Rethik K AU - Dasi S AU - Kiani M PY - 2025 JO - Scientific reports DO - 10.1038/s41598-024-84556-0 UR - https://doi.org/10.1038/s41598-024-84556-0 ER -
APA
A, K., P, R., AK, K., T, S., S, A., JS, C., R, M., K, R., S, D., & M, K. (2025). Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.. Scientific reports. https://doi.org/10.1038/s41598-024-84556-0
Source records
- pubmed · retrieved 2026-11-10T11:39:15.665Z