Multi attribute transform and neural network in porosity estimation of an offshore oil field — A case study
- Author
- KHOSHDEL, Hossein1 ; ALI RIAHI, Mohammad2
[1] NIOC exploration Directorate, 1 St Dead End Alley, Seoul St, North East Sheikh Bahaei Sq., PO Box: 19395-6669, Tehran, Iran, Islamic Republic of
[2] Institute of Geophysics, University of Tehran, PO Box 14155-6466, Tehran, Iran, Islamic Republic of - Source
Journal of petroleum science & engineering. 2011, Vol 78, Num 3-4, pp 740-747, 8 p ; ref : 1/4 p
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- multi attribute neural network porosity estimation
- Keyword (fr)
- Analyse sismique Champ pétrole Corrélation croisée Dolomite Fiabilité Hétérogénéité Impédance acoustique Porosité Roche magasin Réseau neuronal Sismique 3D
- Keyword (en)
- Seismic analysis Oil field Cross correlation Dolomite Reliability Heterogeneity Acoustic impedance Porosity Reservoir rock Neural network Three dimensional seismics
- Keyword (es)
- Análisis sísmico Campo petróleo Correlación cruzada Dolomita Fiabilidad Heterogeneidad Impedancia acústica Porosidad Roca reservorio Red neuronal Sísmica 3 dimensiones
- 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 / 001D06B02B2 Prospecting and exploration / 001D06B02B2B Geophysical prospecting. Seismic methods and other methods. Exploration in boreholes. Well logging
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 24796304
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.2011.08.016 
https://dx.doi.org/10.1016/j.petrol.2011.08.016
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