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Artificial neural network model for accurate prediction of pressure drop in horizontal and near-horizontal-multiphase flow

Author
OSMAN, El-Sayed A1 ; AGGOUR, Mohamed A1
[1] King Fahd University of Petroleum & Minerals, KFUPM Box 130, Dhahran 31261, Saudi Arabia
Source

Petroleum science and technology. 2002, Vol 20, Num 1-2, pp 1-15 ; ref : 1 p.1/4

ISSN
1091-6466
Scientific domain
Energy
Publisher
Taylor & Francis, Colchester
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Analyse statistique Canalisation Champ gaz Champ pétrole Conduite horizontale Ecoulement polyphasique Modèle prévision Perte charge Réseau neuronal
Keyword (en)
Statistical analysis Pipe Gas field Oil field Horizontal pipe Multiphase flow Forecast model Pressure drop Neural network
Keyword (es)
Análisis estadístico Canalización Campo gas Campo petróleo Conducto horizontal Flujo polifásico Modelo previsión Pérdida carga 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 / 001D06B02B5C Flows hydrodynamics

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
13454423

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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