Semi-analytical approaches to modeling deep well injection of CO2 for geological sequestration
- Author
- SARIPALLI, Prasad1 ; MCGRAIL, Peter1
[1] Environmental Technology Division, Pacific Northwest National Laboratory, 1313 Sigma V Complex (K6-81), Richland, WA 99352, United States - Source
Energy conversion and management. 2002, Vol 43, Num 2, pp 185-198 ; ref : 24 ref
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Carbone dioxyde Emission polluant Etude théorique Formation géologique Gaz effet serre Modélisation Piégeage Pollution air Prévention pollution Puits injection Stockage souterrain
- Keyword (en)
- Carbon dioxide Pollutant emission Theoretical study Geological formation Greenhouse gas Modeling Trapping Air pollution Pollution prevention Injection well Underground storage
- Keyword (es)
- Carbono dióxido Emisión contaminante Estudio teórico Formación geológica Gas efecto invernadero Modelización Captura Contaminación aire Prevención polución Pozo inyección Almacenamiento subterraneo
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D16 Pollution / 001D16C Atmospheric pollution / 001D16C05 Prevention and purification methods / 001D16C05B Combustion and energy production
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01O Engineering and environment geology. Geothermics / 001E01O04 Pollution, environment geology
- Discipline
- Earth sciences Pollution
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 13398757
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/S0196-8904(01)00017-6 
https://dx.doi.org/10.1016/S0196-8904(01)00017-6
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