A Water Saturation Prediction Using Artificial Neural Networks and an Investigation on Cementation Factors and Saturation Exponent Variations in an Iranian Oil Well
- Author
- MARDI, M1 ; NUROZI, H1 ; EDALATKHAH, S1
[1] Petroleum University of Technology, Tehran, Iran, Islamic Republic of - Source
Petroleum science and technology. 2012, Vol 30, Num 1-4, pp 425-434, 10 p ; ref : 1/4 p
- Publisher
- Taylor & Francis, Colchester
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- artificial neural network cementation factor saturation exponent water saturation wireline logs
- Keyword (fr)
- Densité Porosité Réseau neuronal
- Keyword (en)
- Density Porosity Neural network
- Keyword (es)
- Densidad Porosidad Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B02 Crude oil, natural gas and petroleum products / 001D06B02D Processing of crude oil and oils from shales and tar sands. Processes. Equipment. Refinery and treatment units
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B02 Crude oil, natural gas and petroleum products / 001D06B02E Petroleum products, gas and fuels. Motor fuels, lubricants and asphalts
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 25527877
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
10.1080/10916460903452033 
https://dx.doi.org/10.1080/10916460903452033
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