Mohammad Ali Ahmadi

发表

Estimation of breakthrough time for water coning in fractured systems: Experimental study and connectionist modeling

Ali Elkamel, Alireza Bahadori, Ali Lohi, 2014 .

Technical and economic feasibility study of flue gas injection in an Iranian oil field

Mohammad Ali Ahmadi, Mahdi Zeinali Hasanvand, Sara Shokrolahzadeh, 2015 .

Robust intelligent tool for estimating dew point pressure in retrograded condensate gas reservoirs: Application of particle swarm optimization

Mohammad Ali Ahmadi, Mohammad Ebadi, Arash Yazdanpanah, 2014 .

A predictive model of chemical flooding for enhanced oil recovery purposes: Application of least square support vector machine

Mohammad Ali Ahmadi, Maysam Pournik, 2016 .

RETRACTED ARTICLE: Neural-network-based unified particle swarm optimization for the prediction of asphaltene precipitation due to natural depletion

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, 2012, Neural Computing and Applications.

Thermodynamic analysis and multi objective optimization of performance of solar dish Stirling engine by the centrality of entransy and entropy generation

Fathollah Pourfayaz, Michel Feidt, Mohammad Ali Ahmadi, 2014 .

Thermodynamic analysis and optimization of an irreversible nano scale dual cycle operating with Maxwell-Boltzmann gas

Fathollah Pourfayaz, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2017 .

Performance Optimization of a Solar-Driven Multi-Step Irreversible Brayton Cycle Based on a Multi-Objective Genetic Algorithm

Michel Feidt, Mohammad Ali Ahmadi, Mohammad Hosein Ahmadi, 2016 .

Permeability Prediction of Carbonate Reservoir by Combining Neural Network and Shuffled Frog-Leaping

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, 2012 .

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

Amin Shokrollahi, Mohammad Ali Ahmadi, Mohammad Ebadi, 2013, Appl. Soft Comput..

RETRACTED ARTICLE: Evolving artificial neural network and imperialist competitive algorithm for prediction permeability of the reservoir

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Mohammad Reza Ahmadi, 2012, Neural Computing and Applications.

Evolving smart approach for determination dew point pressure through condensate gas reservoirs

Mohammad Ali Ahmadi, Mohammad Ali Ahmadi, Mohammad Ebadi, 2014 .

Application Fuzzy Decision Tree Analysis for Prediction Condensate Gas Ratio: Case Study

Mohammad Ali Ahmadi, Mohammad Ebadi, Shahab Gerami, 2012 .

A cutting edge solution to monitor formation damage due to scale deposition: Application to oil recovery

Sohrab Zendehboudi, Mohammad Ali Ahmadi, Omidreza Mohammadzadeh, 2017 .

Connectionist intelligent model estimates output power and torque of stirling engine

Michel Feidt, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2015 .

Investigation of the effect of design parameters on power output and thermal efficiency of a Stirling engine by thermodynamic analysis

Mehdi Mehrpooya, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2016 .

RETRACTED ARTICLE: Prediction of asphaltene precipitation by using hybrid genetic algorithm and particle swarm optimization and neural network

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, M. Ahmadi, 2012, Neural computing & applications (Print).

A simple approach for screening enhanced oil recovery methods: Application of artificial intelligence

Alireza Bahadori, Mohammad Ali Ahmadi, A. Bahadori, 2016 .

Application of Fuzzy Decision Tree Analysis for Prediction Asphaltene Precipitation Due Natural Depletion; Case Study

Mohammad Ali Ahmadi, Mohammad Ebadi, Kaveh Farhadi Hikoei, 2012 .

Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach

Mohammad Ali Ahmadi, Mohammad Ebadi, Seyed Moein Hosseini, 2014 .

Using GMDH Neural Networks to Model the Power and Torque of Stirling Engine

Marc A. Rosen, Mehdi Mehrpooya, Mohammad Ali Ahmadi, 2014 .

Thermodynamic Analysis and Multi Objective Optimization of Performance of Solar Dish Stirling Engine by the Centrality of Entransy and Entropy Generation

Michel Feidt, Mohammad Ali Ahmadi, Adel Mellit, 2014 .

A developed smart technique to predict minimum miscible pressure—eor implications

Alireza Bahadori, Tayfun Babadagli, Sohrab Zendehboudi, 2013 .

Entransy analysis and optimization of performance of nano-scale irreversible Otto cycle operating with Maxwell-Boltzmann ideal gas

Mokhtar Bidi, Fathollah Pourfayaz, Mohammad Ali Ahmadi, 2016 .

Comparison of machine learning methods for estimating permeability and porosity of oil reservoirs via petro-physical logs

Zhangxing Chen, Mohammad Ali Ahmadi, Zhangxin Chen, 2019, Petroleum.

Optimization Performance of Irreversible Refrigerators Based on Evolutionary Algorithm

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, Milad Ashuri, 2014 .

An accurate model to predict drilling fluid density at wellbore conditions

Alireza Bahadori, Mohammad Ali Ahmadi, Kalpit Shah, 2016 .

RETRACTED ARTICLE: Intelligent approach for prediction of minimum miscible pressure by evolving genetic algorithm and neural network

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, M. Ahmadi, 2012, Neural Computing and Applications.

Toward reliable model for prediction Drilling Fluid Density at wellbore conditions: A LSSVM model

Mohammad Ali Ahmadi, M. Ahmadi, 2016, Neurocomputing.

Thermodynamic and thermo-economic analysis and optimization of an irreversible regenerative closed Brayton cycle

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, Seyed Abbas Sadatsakkak, 2015 .

Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach

Fathollah Pourfayaz, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2016 .

Connectionist model for predicting minimum gas miscibility pressure: Application to gas injection process

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Mohammad Zahedzadeh, 2015 .

RETRACTED ARTICLE: Prediction of condensate-to-gas ratio by using stochastic particle swarm optimization and neural network

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Mohammad Ebadi, 2012, Neural Computing and Applications.

Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion

Mohammad Ali Ahmadi, Mohammad Golshadi, M. Ahmadi, 2012 .

WITHDRAWN: Prediction of minimum miscible pressure by using neural network based hybrid genetic algorithm and particle swarm optimization

Mohammad Ali Ahmadi, M. Ahmadi, 2012 .

Evolving Smart Model to Predict the Combustion Front Velocity for In Situ Combustion

Mohammad Masoumi, Mohammad Ali Ahmadi, Reza Askarinezhad, 2015 .

Evolving simple-to-use method to determine water–oil relative permeability in petroleum reservoirs

Sohrab Zendehboudi, Ioannis Chatzis, Mohammad Ali Ahmadi, 2016 .

Multi-objective optimization of an irreversible Stirling cryogenic refrigerator cycle

Amir H. Mohammadi, Michel Feidt, Mohammad Ali Ahmadi, 2014 .

Optimization performance of irreversible refrigerators base on evolutionary algorithm

Mohammad Ali Ahmadi, Milad Ashouri, Mohammad Hossein Ahmadi, 2016 .

Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool

Alireza Bahadori, Moonyong Lee, Mohammad Ali Ahmadi, 2015 .

Toward connectionist model for predicting bubble point pressure of crude oils: Application of artificial intelligence

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Maysam Pournik, 2015 .

Thermo-economic optimization of Stirling heat pump by using non-dominated sorting genetic algorithm

Michel Feidt, Mohammad Ali Ahmadi, Milad Ashouri, 2015 .

RETRACTED ARTICLE: Combining artificial neural network and unified particle swarm optimization for oil flow rate prediction: case study

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Arash Goudarzi, 2012, Neural Computing and Applications.

New tools to determine bubble point pressure of crude oils: Experimental and modeling study

Ali Lohi, Sohrab Zendehboudi, Ioannis Chatzis, 2014 .

Thermodynamic analysis and optimisation of an irreversible radiative-type heat engine by using non-dominated sorting genetic algorithm

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2016 .

A robust proxy for production well placement optimization problems

Mohammad Ali Ahmadi, Sahar Keshavarz, Behzad Pouladi, 2017 .

Thermo-ecological analysis and optimization performance of an irreversible three-heat-source absorption heat pump

Mehdi Mehrpooya, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2015 .

Thermodynamic analysis and evolutionary algorithm based on multi-objective optimization performance of actual power generating thermal cycles

Fathollah Pourfayaz, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2016 .

Thermodynamic analysis and evolutionary algorithm based on multi-objective optimisation of the Rankine cycle heat engine

Mehdi Mehrpooya, Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2016 .

Thermodynamic analysis and optimization of an irreversible Ericsson cryogenic refrigerator cycle

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, 2015 .

Estimation of the silica solubility in the superheated steam using LSSVM modeling approach

Alireza Bahadori, Mohammad Ali Ahmadi, Moonyong Lee, 2016 .

Evolving simple-to-apply models for estimating thermal conductivity of supercritical CO2

Mohammad Ali Ahmadi, Alireza Baghban, 2017 .

Connectionist approach estimates gas–oil relative permeability in petroleum reservoirs: Application to reservoir simulation

Mohammad Ali Ahmadi, M. Ahmadi, 2015 .

Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization

Ali Elkamel, Ali Lohi, Sohrab Zendehboudi, 2013 .

Optimization performance and thermodynamic analysis of an irreversible nano scale Brayton cycle operating with Maxwell–Boltzmann gas

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, Seyed Abbas Sadatsakkak, 2015 .

Low parameter model to monitor bottom hole pressure in vertical multiphase flow in oil production wells

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Morteza Galedarzadeh, 2016 .

Evolving Connectionist Model to Monitor the Efficiency of an In Situ Combustion Process: Application to Heavy Oil Recovery

Mohammad Masoumi, Mohammad Ali Ahmadi, Reza Askarinezhad, 2014 .

Thermodynamic analysis and optimization of the Atkinson engine by using NSGA-II

Mohammad Ali Ahmadi, Milad Ashouri, Mohammad Hossein Ahmadi, 2016 .

Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, Seyed Abbas Sadatsakkak, 2015 .

Optimization of powered Stirling heat engine with finite speed thermodynamics

Mokhtar Bidi, Fathollah Pourfayaz, Michel Feidt, 2016 .

Prediction of performance of Stirling engine using least squares support machine technique

Mohammad Ali Ahmadi, Milad Ashouri, Mohammad Hossein Ahmadi, 2016 .

Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, M. Ahmadi, 2016 .

Application of fuzzy decision tree in EOR screening assessment

Mohammad Ali Ahmadi, Mohammad Sharifi, Nastaran Khazali, 2019, Journal of Petroleum Science and Engineering.

Implementation of artificial neural-networks to model the performance parameters of Stirling engine

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, Seyed Abbas Sadatsakkak, 2016 .

Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids

Alireza Baghban, Mohammad Ali Ahmadi, Hamid Reza Amedi, 2016 .

Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach

Alireza Baghban, Mohammad Ali Ahmadi, Ali Shafiei, 2014 .

Prediction of Condensate-toGas Ratio for Retrograde Gas Condensate Reservoirs Using Arti fi cial Neural Network with Particle Swarm Optimization

Sohrab Zendehboudi, Ioannis Chatzis, Mohammad Ali Ahmadi, 2012 .

Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

Alireza Baghban, Mohammad Ali Ahmadi, Bahram Hashemi Shahraki, 2015 .

Estimation of H2S solubility in ionic liquids using a rigorous method

Mohammad Ali Ahmadi, Reza Haghbakhsh, Reza Soleimani, 2014 .

ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery

Mohammad Ali Ahmadi, Abouzar Choubineh, Seyedeh Raha Moosavi, 2019, Natural Resources Research.

A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach

Mohammad Ali Ahmadi, Omid Mahian, Mohammad Hossein Ahmadi, 2018, Journal of Thermal Analysis and Calorimetry.

Implementation of a high-performance surfactant for enhanced oil recovery from carbonate reservoirs

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, M. Ahmadi, 2013 .

Phase equilibrium modeling of semi-clathrate hydrates of seven commonly gases in the presence of TBAB ionic liquid promoter based on a low parameter connectionist technique

Alireza Baghban, Mohammad Ali Ahmadi, Behnam Amanna, 2015 .

Equilibrium ratio of hydrocarbons and non-hydrocarbons at reservoir conditions: Experimental and modeling study

Sohrab Zendehboudi, Mohammad Ali Ahmadi, Lesley A. James, 2017 .

Prediction of Condensate-to-Gas Ratio for Retrograde Gas Condensate Reservoirs Using Artificial Neural Network with Particle Swarm Optimization

Sohrab Zendehboudi, Ioannis Chatzis, Mohammad Ali Ahmadi, 2012 .

Effect of operational parameters on the performance of carbonated water injection: Experimental and numerical modeling study

Goodarz Ahmadi, Mohammad Ali Ahmadi, Mahdi Zeinali Hasanvand, 2016 .

Recovery Rate of Vapor Extraction in Heavy Oil Reservoirs—Experimental, Statistical, and Modeling Studies

Ali Elkamel, Alireza Bahadori, Ali Lohi, 2014 .

Thermodynamic investigation of asphaltene precipitation during primary oil production laboratory and smart technique

Alireza Bahadori, Sohrab Zendehboudi, Mohammad Ali Ahmadi, 2013 .

Rigorous smart model for predicting dynamic viscosity of Al2O3/water nanofluid

Mohammad Ali Ahmadi, Mahdi Ramezanizadeh, Mohammad Hossein Ahmadi, 2018, Journal of Thermal Analysis and Calorimetry.

Developing a Robust Surrogate Model of Chemical Flooding Based on the Artificial Neural Network for Enhanced Oil Recovery Implications

Mohammad Ali Ahmadi, M. Ahmadi, 2015 .

Thermal conductivity ratio prediction of Al2O3/water nanofluid by applying connectionist methods

Mohammad Ali Ahmadi, Mohammad Hossein Ahmadi, Mohammad Behshad Shafii, 2018 .

Development of robust model to estimate gas–oil interfacial tension using least square support vector machine: Experimental and modeling study

Mohammad Ali Ahmadi, M. Ahmadi, B. Mahmoudi, 2016 .

Prediction performance of natural gas dehydration units for water removal efficiency using a least-square support vector machine

Alireza Bahadori, Mohammad Ali Ahmadi, A. Bahadori, 2016 .

Prediction of Power in Solar Stirling Heat Engine by Evolving Particle Swarm Optimization and Neural Network

Mohammad Ali Ahmadi, Mohammad Hossein, K. N. Toosi, 2011 .

Preliminary evaluation of mulberry leaf-derived surfactant on interfacial tension in an oil-aqueous system: EOR application

Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, M. Ahmadi, 2014 .

Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs

Mohammad Ali Ahmadi, M. Ahmadi, M. Ebadi, 2014 .

Corrigendum to “Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion” [J. Pet. Sci. Eng. 98–99 (2012) 40–49]

Mohammad Ali Ahmadi, Mohammad Golshadi, M. Ahmadi, 2013 .