Prediction of Crude Oil Asphaltene Precipitation Using Support Vector Regression
- Author
- NA'IMI, Seyyed Reza1 ; GHOLAMI, Amin1 ; ASOODEH, Mojtaba2
[1] Abadan Facility of Petroleum University of Technology, Petroleum University of Technology, Abadan, Iran, Islamic Republic of
[2] Islamic Azad University, Birjand Branch, Birjand, Iran, Islamic Republic of - Source
Journal of dispersion science and technology. 2014, Vol 35, Num 4-6, pp 518-523, 6 p ; ref : 35 ref
- Publisher
- Taylor & Francis, Philadelphia, PA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural network asphaltene precipitation scaling equation support vector regression (SVR) titration data
- Keyword (fr)
- Asphaltène Equation Précipitation Prédiction Pétrole brut Réseau neuronal Support Vecteur
- Keyword (en)
- Asphaltene Equation Precipitation Prediction Crude oil Neural network Support Vector
- Keyword (es)
- Asfalteno Ecuación Precipitación Predicción Petróleo bruto Red neuronal Soporte Vector
- Classification
- Pascal
- 001 Exact sciences and technology / 001C Chemistry / 001C01 General and physical chemistry / 001C01J Colloidal state and disperse state
- Discipline
- General chemistry and physical chemistry
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28559629
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
10.1080/01932691.2013.798585 
https://dx.doi.org/10.1080/01932691.2013.798585
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