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Saeid Naseri
Saeid Naseri
Other namessaeed naseri
Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of
Verified email at vattenfall.de
Title
Cited by
Cited by
Year
Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks
A Tatar, S Naseri, M Bahadori, AZ Hezave, T Kashiwao, A Bahadori, ...
Journal of the Taiwan Institute of Chemical Engineers 60, 151-164, 2016
712016
Prediction of reservoir brine properties using radial basis function (RBF) neural network
A Tatar, S Naseri, N Sirach, M Lee, A Bahadori
Petroleum 1 (4), 349-357, 2015
452015
Application of radial basis function neural network for prediction of titration-based asphaltene precipitation
S Naseri, A Tatar, M Bahadori, J Rozyn, T Kashiwao, A Bahadori
Petroleum Science and Technology 33 (23-24), 1875-1882, 2015
112015
Prediction of water formation temperature in natural gas dehydrators using radial basis function (RBF) neural networks
T Afshin, BH Ali, M Hossein, N Saeid, B Meysam, L Moonyong, B Alireza, ...
Natural Gas Industry B 3 (2), 173-180, 2016
102016
Evaluation of different artificial intelligent models to predict reservoir formation water density
A Tatar, S Naseri, M Bahadori, J Rozyn, M Lee, T Kashiwao, A Bahadori
Petroleum Science and Technology 33 (20), 1749-1756, 2015
72015
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Articles 1–5