Mohammadali Ahmadi, Ph.D.
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Evolving Artificial Neural Network and Imperialist Competitive Algorithm for Prediction Oil Flow Rate of the Reservoir
MA Ahmadi, M Ebadi
Applied Soft Computing, 2012
Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization
M Ali Ahmadi, S Zendehboudi, A Lohi, A Elkamel, I Chatzis
Geophysical Prospecting, 2012
Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches
A Baghban, MA Ahmadi, BH Shahraki
The Journal of supercritical fluids 98, 50-64, 2015
Implementation of a high-performance surfactant for enhanced oil recovery from carbonate reservoirs
MA Ahmadi, SR Shadizadeh
Journal of Petroleum Science and Engineering 110, 66-73, 2013
Renewable energy harvesting with the application of nanotechnology: A review
MH Ahmadi, M Ghazvini, M Alhuyi Nazari, MA Ahmadi, F Pourfayaz, ...
International Journal of Energy Research 43 (4), 1387-1410, 2019
Adsorption of novel nonionic surfactant and particles mixture in carbonates: enhanced oil recovery implication
MA Ahmadi, SR Shadizadeh
Energy & Fuels 26 (8), 4655-4663, 2012
Thermal models for analysis of performance of Stirling engine: A review
MH Ahmadi, MA Ahmadi, F Pourfayaz
Renewable and Sustainable Energy Reviews 68, 168-184, 2017
Experimental investigation of a natural surfactant adsorption on shale-sandstone reservoir rocks: Static and dynamic conditions
MA Ahmadi, SR Shadizadeh
Fuel 159, 15-26, 2015
Induced effect of adding nano silica on adsorption of a natural surfactant onto sandstone rock: experimental and theoretical study
MA Ahmadi, SR Shadizadeh
Journal of Petroleum Science and Engineering 112, 239-247, 2013
Experimental investigation of adsorption of a new nonionic surfactant on carbonate minerals
MA Ahmadi, SR Shadizadeh
Fuel 104, 462-467, 2013
Nonionic surfactant for enhanced oil recovery from carbonates: adsorption kinetics and equilibrium
MA Ahmadi, S Zendehboudi, A Shafiei, L James
Industrial & engineering chemistry research 51 (29), 9894-9905, 2012
Comparison of machine learning methods for estimating permeability and porosity of oil reservoirs via petro-physical logs
MA Ahmadi, Z Chen
Petroleum 5 (3), 271-284, 2019
Prediction of condensate-to-gas ratio for retrograde gas condensate reservoirs using artificial neural network with particle swarm optimization
S Zendehboudi, MA Ahmadi, L James, I Chatzis
Energy & Fuels 26 (6), 3432-3447, 2012
Neural network based unified particle swarm optimization for prediction of asphaltene precipitation
MA Ahmadi
Fluid Phase Equilibria, 2011
Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool
MA Ahmadi, R Soleimani, M Lee, T Kashiwao, A Bahadori
Petroleum 1 (2), 118-132, 2015
Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach
MA Ahmadi, M Ebadi, SM Hosseini
Fuel 117, 579-589, 2014
New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept
MA Ahmadi, SR Shadizadeh
Fuel 102, 716-723, 2012
A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as …
MH Ahmadi, MA Ahmadi, MA Nazari, O Mahian, R Ghasempour
Journal of Thermal Analysis and Calorimetry 135, 271-281, 2019
Wettability alteration in carbonate rocks by implementing new derived natural surfactant: enhanced oil recovery applications
MA Ahmadi, M Galedarzadeh, SR Shadizadeh
Transport in porous media 106, 645-667, 2015
Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: application of artificial intelligence
MA Ahmadi, MR Ahmadi, SM Hosseini, M Ebadi
Journal of Petroleum Science and Engineering 123, 183-200, 2014
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