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Saeid Naseri
Saeid Naseri
Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of
Подтвержден адрес электронной почты в домене vattenfall.de
Название
Процитировано
Процитировано
Год
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
802016
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
472015
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
112016
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
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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Статьи 1–5