A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Reduced-order models for the greenhouse gas leakage prediction from depleted hydrocarbon reservoirs using machine learning methods
https://orcid.org/0000-0003-3257-5442
https://orcid.org/0000-0002-1335-1374
Reduced-order models for the greenhouse gas leakage prediction from depleted hydrocarbon reservoirs using machine learning methods
https://orcid.org/0000-0003-3257-5442
https://orcid.org/0000-0002-1335-1374
Reduced-order models for the greenhouse gas leakage prediction from depleted hydrocarbon reservoirs using machine learning methods
https://orcid.org/0000-0003-3257-5442
https://orcid.org/0000-0002-1335-1374
Reduced-order models for the greenhouse gas leakage prediction from depleted hydrocarbon reservoirs using machine learning methods
International Journal of Greenhouse Gas Control
Liu, Lei (author) / Mehana, Mohamed (author) / Chen, Bailian (author) / Prodanović, Maša (author) / Pyrcz, Michael J. (author) / Pawar, Rajesh (author)
International Journal of Greenhouse Gas Control ; 132 ; 104072
2024-02-01
Article (Journal)
Electronic Resource
English
DEPLETED HYDROCARBON RESERVOIRS AND CO2 INJECTION WELLS –CO2 LEAKAGE ASSESSMENT
| DOAJ | 2017