Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding
- Author
- HUANG, Y. F1 2 ; HUANG, G. H1 2 ; DONG, M. Z2 ; FENG, G. M1 2
[1] Canada-China Center of Energy and Environment Research, Hunan University, Changsha 410082, China
[2] Faculty of Engineering, University of Regina, Regina, SK, S4S 0A2, Canada - Source
Journal of petroleum science & engineering. 2003, Vol 37, Num 1-2, pp 83-95, 13 p ; ref : 25 ref
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Champ pétrole Injection carbone dioxyde Miscibilité Modélisation Pétrole lourd Récupération assistée Réseau neuronal
- Keyword (en)
- Oil field Carbon dioxide injection Miscibility Modeling Heavy oil Enhanced recovery Neural network
- Keyword (es)
- Campo petróleo Inyección anhídrido carbónico Miscibilidad Modelización Petróleo pesado Recuperación asistida Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B02 Crude oil, natural gas and petroleum products / 001D06B02B Prospecting and production of crude oil, natural gas, oil shales and tar sands / 001D06B02B5 Crude oil, natural gas, oil shales producing equipements and methods / 001D06B02B5G Enhanced oil recovery methods
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 14484785
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/S0920-4105(02)00312-1 
https://dx.doi.org/10.1016/S0920-4105(02)00312-1
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