Amin Shokrollahi
Geciteerd door
Geciteerd door
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
MA Ahmadi, M Ebadi, A Shokrollahi, SMJ Majidi
Applied Soft Computing 13 (2), 1085-1098, 2013
Intelligent model for prediction of CO 2–reservoir oil minimum miscibility pressure
A Shokrollahi, M Arabloo, F Gharagheizi, AH Mohammadi
Fuel 112, 375-384, 2013
Implementing radial basis function networks for modeling CO 2-reservoir oil minimum miscibility pressure
A Tatar, A Shokrollahi, M Mesbah, S Rashid, M Arabloo, A Bahadori
Journal of Natural Gas Science and Engineering 15, 82-92, 2013
Reservoir oil viscosity determination using a rigorous approach
A Hemmati-Sarapardeh, A Shokrollahi, A Tatar, F Gharagheizi, ...
Fuel 116, 39-48, 2014
State-of-the-art least square support vector machine application for accurate determination of natural gas viscosity
A Fayazi, M Arabloo, A Shokrollahi, MH Zargari, MH Ghazanfari
Industrial & Engineering Chemistry Research 53 (2), 945-958, 2014
Toward a predictive model for estimating dew point pressure in gas condensate systems
M Arabloo, A Shokrollahi, F Gharagheizi, AH Mohammadi
Fuel Processing Technology 116, 317-324, 2013
Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO 2 flooding
A Kamari, M Arabloo, A Shokrollahi, F Gharagheizi, AH Mohammadi
Fuel 153, 310-319, 2015
Toward an intelligent approach for determination of saturation pressure of crude oil
A Farasat, A Shokrollahi, M Arabloo, F Gharagheizi, AH Mohammadi
Fuel Processing Technology 115, 201-214, 2013
Prediction of the aqueous solubility of BaSO 4 using pitzer ion interaction model and LSSVM algorithm
H Safari, A Shokrollahi, M Jamialahmadi, MH Ghazanfari, A Bahadori, ...
Fluid Phase Equilibria 374, 48-62, 2014
Prediction of viscosity of water-based Al 2 O 3, TiO 2, SiO 2, and CuO nanofluids using a reliable approach
MK Meybodi, S Naseri, A Shokrollahi, A Daryasafar
Chemometrics and Intelligent Laboratory Systems 149, 60-69, 2015
On accurate determination of PVT properties in crude oil systems: Committee machine intelligent system modeling approach
A Shokrollahi, A Tatar, H Safari
Journal of the Taiwan Institute of Chemical Engineers 55, 17-26, 2015
Evolving an accurate model based on machine learning approach for prediction of dew-point pressure in gas condensate reservoirs
SMJ Majidi, A Shokrollahi, M Arabloo, R Mahdikhani-Soleymanloo, ...
Chemical Engineering Research and Design 92 (5), 891-902, 2014
Applying a robust solution based on expert systems and GA evolutionary algorithm for prognosticating residual gas saturation in water drive gas reservoirs
A Tatar, MR Yassin, M Rezaee, AH Aghajafari, A Shokrollahi
Journal of Natural Gas Science and Engineering 21, 79-94, 2014
Prediction of phase equilibrium of CO 2/cyclic compound binary mixtures using a rigorous modeling approach
M Mesbah, E Soroush, A Shokrollahi, A Bahadori
The Journal of Supercritical Fluids 90, 110-125, 2014
Integrating a robust model for predicting surfactant–polymer flooding performance
A Kamari, F Gharagheizi, A Shokrollahi, M Arabloo, AH Mohammadi
Journal of Petroleum Science and Engineering 137, 87-96, 2016
Applying a Smart Technique for Accurate Determination of Flowing Oil-Water Pressure Gradient in Horizontal Pipelines
M Fazavi, SM Hosseini, M Arabloo, A Shokrollahi, M Nouri-Taleghani, ...
Journal of Dispersion Science and Technology 35 (6), 882-888, 2014
Prediction of Methane Uptake on Different Adsorbents in Adsorbed Natural Gas Technology Using a Rigorous Model
E Soroush, M Mesbah, A Shokrollahi, A Bahadori, MH Ghazanfari
Energy & Fuels 28 (10), 6299-6314, 2014
Evolving a robust modeling tool for prediction of natural gas hydrate formation conditions
E Soroush, M Mesbah, A Shokrollahi, J Rozyn, M Lee, T Kashiwao, ...
Journal of Unconventional Oil and Gas Resources 12, 45-55, 2015
Development of an accurate method to prognosticate choke flow coefficients for natural gas flow through nozzle and orifice type chokes
S Naseri, A Tatar, A Shokrollahi
Flow Measurement and Instrumentation 48, 1-7, 2016
Application of foam floods for enhancing heavy oil recovery through stability analysis and core flood experiments
A Shokrollahi, MH Ghazanfari, A Badakhshan
The Canadian Journal of Chemical Engineering 92 (11), 1975-1987, 2014
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