Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach
- DOI
- 10.1016/j.biortech.2022.127023
- Published
- 2022-05
- Container
- Bioresource Technology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2022.127023,
title = {Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach},
author = {P.S. Pavan and K. Arvind and B. Nikhil and P. Sivasankar},
year = {2022},
journal = {Bioresource Technology},
doi = {10.1016/j.biortech.2022.127023},
url = {https://doi.org/10.1016/j.biortech.2022.127023}
}RIS
TY - JOUR TI - Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach AU - P.S. Pavan AU - K. Arvind AU - B. Nikhil AU - P. Sivasankar PY - 2022 JO - Bioresource Technology DO - 10.1016/j.biortech.2022.127023 UR - https://doi.org/10.1016/j.biortech.2022.127023 ER -
APA
Pavan, P., Arvind, K., Nikhil, B., & Sivasankar, P. (2022). Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach. Bioresource Technology. https://doi.org/10.1016/j.biortech.2022.127023
Source records
- crossref · retrieved 2026-09-26T13:29:53.591Z