Reza Nassimi
Reza Nassimi
Ph.d. candidate of Control Engineering
nioc.ir의 이메일 확인됨 - 홈페이지
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Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir
R Irani, R Nasimi
Expert Systems with Applications 38 (8), 9862-9866, 2011
1112011
Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling
R Irani, R Nasimi
Journal of Petroleum Science and Engineering 78 (1), 6-12, 2011
982011
An evolving neural network using an ant colony algorithm for a permeability estimation of the reservoir
R Irani, R Nasimi
Petroleum science and Technology 30 (4), 375-384, 2012
152012
A hybrid particle swarm optimization–neural network strategy for permeability estimation of the reservoir
R Nasimi, M Shahbazian, R Irani
SPEEDAM 2010, 2010
112010
Approximate predictive control of a distillation column using an evolving artificial neural network coupled with a genetic algorithm
R Irani, R Nasimi, M Shahbazian
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 37 …, 2015
72015
Identification and modeling of a yeast fermentation bioreactor using hybrid particle swarm optimization-artificial neural networks
R Nasimi, R Irani
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 36 …, 2014
72014
An improved ant colony algorithm–Based ANN for bottom hole pressure prediction in underbalanced drilling
R Nasimi, R Irani, B Moradi
Petroleum science and technology 30 (13), 1307-1316, 2012
62012
Permeability estimation of the reservoir based on particle swarm optimization coupled with artificial neural networks
R Nasimi, M Shahbazian, R Irani
Petroleum science and technology 29 (22), 2329-2337, 2011
62011
Combining a neural network with a genetic algorithm and particle swarm optimization for permeability estimation of the reservoir
R Nasimi, R Irani
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 37 …, 2015
52015
Erratum to" Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir"[Expert Systems with Applications 38 (8)(2011) 9862-9866]
R Irani, R Nasimi
Expert Systems with Applications: An International Journal 40 (11), 4733, 2013
22013
Optimized scenario for bottomhole pressure prediction in underbalanced drilling based on neural networks coupled with particle swarm optimization
R Nasimi, R Irani, R Ashena
Petroleum science and technology 30 (11), 1140-1150, 2012
22012
A novel approach to estimate reservoir permeability using machine learning method
R Nasimi, S Azadi, M Farzinfar, M Jazaeri
International Journal of Nonlinear Analysis and Applications 12 (special …, 2021
2021
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