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1 Ergebnisse
1
Porosity Prediction for Carbon Dioxide Storage Assessment U..:
, In:
2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST)
,
Sandunil, Kushan
;
Bennour, Ziad
;
Sivakumar, Saaveethya
.. - p. 153-158 , 2024
Link:
https://doi.org/10.1109/GECOST60902.2024.10474745
RT T1 <cTitle>2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST)</cTitle>: T1 <Title>Porosity Prediction for Carbon Dioxide Storage Assessment Using Boosting Ensemble Machine Learning Algorithms. Case Study: Darling Basin, Australia</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10474745&Exemplar=1&LAN=DE A1 Sandunil, Kushan A1 Bennour, Ziad A1 Sivakumar, Saaveethya A1 Giwelli, Ausama A1 Esteban, Lionel YR 2024 K1 Machine learning algorithms K1 Net zero K1 Carbon dioxide K1 Predictive models K1 Prediction algorithms K1 Boosting K1 Reservoirs K1 machine learning K1 porosity K1 carbon dioxide storage SP 153 OP 158 LK http://dx.doi.org/https://doi.org/10.1109/GECOST60902.2024.10474745 DO https://doi.org/10.1109/GECOST60902.2024.10474745 SF ELIB - SuUB Bremen
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