Predicting bottomhole pressure in vertical multiphase flowing wells using artificial neural networks
- Author
- JAHANANDISH, I1 ; SALIMIFARD, B2 4 ; JALALIFAR, H3 4
[1] University of Tehran, Iran, Islamic Republic of
[2] Shahid Bahonar University of Kerman, Iran, Islamic Republic of
[3] Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Iran, Islamic Republic of
[4] Energy and Environmental Engineering Research Center, Shahid Bahonar University of Kerman, Iran, Islamic Republic of - Source
Journal of petroleum science & engineering. 2011, Vol 75, Num 3-4, pp 336-342, 7 p ; ref : 1/2 p
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- artificial neural networks bottomhole pressure multiphase flowing wells
- Keyword (fr)
- Corrélation Pression Puits pétrole Réseau neuronal
- Keyword (en)
- Correlation Pressure Oil well Neural network
- Keyword (es)
- Correlación Presión Pozo petróleo Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B02 Crude oil, natural gas and petroleum products
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 23819092
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/j.petrol.2010.11.019 
https://dx.doi.org/10.1016/j.petrol.2010.11.019
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