Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles

Experimental Measurements and Correlations of Excess Molar Enthalpies for the Binary and Ternary Mixtures of (Cyclohexane, 1,4-Dioxane and Piperidine) or (Cyclohexane, Morpholine and Piperidine) at 308.15 K and Atmospheric Pressure

Farid Brahim Belaribi, Ghénima Boukais-Belaribi, Atika Dahmoun, et al.
Journal of Chemical & Engineering Data 59 (5) 1629 (2014)
DOI: 10.1021/je500088z
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An accurate model for prediction of autoignition temperature of pure compounds

Farhad Gharagheizi
Journal of Hazardous Materials 189 (1-2) 211 (2011)
DOI: 10.1016/j.jhazmat.2011.02.014
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Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure

Amin Shokrollahi, Milad Arabloo, Farhad Gharagheizi and Amir H. Mohammadi
Fuel 112 375 (2013)
DOI: 10.1016/j.fuel.2013.04.036
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Solubility Parameters of Nonelectrolyte Organic Compounds: Determination Using Quantitative Structure–Property Relationship Strategy

Farhad Gharagheizi, Ali Eslamimanesh, Farhad Farjood, Amir H. Mohammadi and Dominique Richon
Industrial & Engineering Chemistry Research 50 (19) 11382 (2011)
DOI: 10.1021/ie200962w
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Thermodynamic modeling of the KCl+formamide/glucose/proline+water ternary systems and activity coefficient prediction based on artificial neural network

Bahram Ghalami-Choobar and Behnam Ghalami Choobar
Journal of Molecular Liquids 207 136 (2015)
DOI: 10.1016/j.molliq.2015.03.028
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Prediction of Equilibrium Conditions for Hydrate Formation in Binary Gaseous Systems Using Artificial Neural Networks

M. R. Moradi, K. Nazari , S. Alavi and M. Mohaddesi
Energy Technology 1 (2-3) 171 (2013)
DOI: 10.1002/ente.201200056
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Modeling and optimization of cross-flow ultrafiltration using hybrid neural network-genetic algorithm approach

Ramin Badrnezhad and Behrooz Mirza
Journal of Industrial and Engineering Chemistry 20 (2) 528 (2014)
DOI: 10.1016/j.jiec.2013.05.012
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A review on simulation models for exploration and exploitation of natural gas hydrate

Yonghong Sun, Xiaoshu Lü and Wei Guo
Arabian Journal of Geosciences 7 (6) 2199 (2014)
DOI: 10.1007/s12517-014-1294-1
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Representation and Prediction of Molecular Diffusivity of Nonelectrolyte Organic Compounds in Water at Infinite Dilution Using the Artificial Neural Network-Group Contribution Method

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Journal of Chemical & Engineering Data 56 (5) 1741 (2011)
DOI: 10.1021/je101190p
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Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach

Mohammad Mesbah, Ebrahim Soroush, Amin Shokrollahi and Alireza Bahadori
The Journal of Supercritical Fluids 90 110 (2014)
DOI: 10.1016/j.supflu.2014.03.009
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Phase Equilibrium Modeling of Structure H Clathrate Hydrates of Methane + Water “Insoluble” Hydrocarbon Promoter Using QSPR Molecular Approach

Ali Eslamimanesh, Farhad Gharagheizi, Amir H. Mohammadi and Dominique Richon
Journal of Chemical & Engineering Data 56 (10) 3775 (2011)
DOI: 10.1021/je200444f
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Use of Artificial Neural Network-Group Contribution Method to Determine Surface Tension of Pure Compounds

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Journal of Chemical & Engineering Data 56 (5) 2587 (2011)
DOI: 10.1021/je2001045
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Experimental Optimization and Modeling of Sodium Sulfide Production from H2S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network

Fatemeh Bashipour, Amir Rahimi, Saied Nouri Khorasani and Abbas Naderinik
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 72 (2) 9 (2017)
DOI: 10.2516/ogst/2017004
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Group Contribution-Based Method for Determination of Solubility Parameter of Nonelectrolyte Organic Compounds

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Industrial & Engineering Chemistry Research 50 (17) 10344 (2011)
DOI: 10.1021/ie201002e
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Hydrate phase equilibria for hydrogen+water and hydrogen+tetrahydrofuran+water systems: Predictions of dissociation conditions using an artificial neural network algorithm

Amir H. Mohammadi and Dominique Richon
Chemical Engineering Science 65 (10) 3352 (2010)
DOI: 10.1016/j.ces.2010.02.015
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Prediction of sand production onset in petroleum reservoirs using a reliable classification approach

Farhad Gharagheizi, Amir H. Mohammadi, Milad Arabloo and Amin Shokrollahi
Petroleum 3 (2) 280 (2017)
DOI: 10.1016/j.petlm.2016.02.001
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Artificial Neural Network modeling of solubility of supercritical carbon dioxide in 24 commonly used ionic liquids

Ali Eslamimanesh, Farhad Gharagheizi, Amir H. Mohammadi and Dominique Richon
Chemical Engineering Science 66 (13) 3039 (2011)
DOI: 10.1016/j.ces.2011.03.016
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Experimental Study and Intelligent Modeling of Density of Crude Oils Diluted with Solvents

Mahdi Kalantari Meybodi and Jamshid Moghadasi
Journal of Dispersion Science and Technology 141217111959003 (2014)
DOI: 10.1080/01932691.2014.941109
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Group contribution model for determination of molecular diffusivity of non-electrolyte organic compounds in air at ambient conditions

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Chemical Engineering Science 68 (1) 290 (2012)
DOI: 10.1016/j.ces.2011.09.035
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Vapor liquid equilibrium prediction of carbon dioxide and hydrocarbon systems using LSSVM algorithm

Mohammad Mesbah, Ebrahim Soroush, Vahid Azari, et al.
The Journal of Supercritical Fluids 97 256 (2015)
DOI: 10.1016/j.supflu.2014.12.011
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Determination of Parachor of Various Compounds Using an Artificial Neural Network−Group Contribution Method

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Industrial & Engineering Chemistry Research 50 (9) 5815 (2011)
DOI: 10.1021/ie102464t
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Determination of Critical Properties and Acentric Factors of Pure Compounds Using the Artificial Neural Network Group Contribution Algorithm

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Journal of Chemical & Engineering Data 56 (5) 2460 (2011)
DOI: 10.1021/je200019g
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An assessment test for phase equilibrium data of water soluble and insoluble clathrate hydrate formers

Poorandokht Ilani-Kashkouli, Saeedeh Babaee, Farhad Gharagheizi, et al.
Fluid Phase Equilibria 360 68 (2013)
DOI: 10.1016/j.fluid.2013.08.016
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Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach

Mahdi Kalantari Meybodi, Saeed Naseri, Amin Shokrollahi and Amin Daryasafar
Chemometrics and Intelligent Laboratory Systems 149 60 (2015)
DOI: 10.1016/j.chemolab.2015.10.001
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Representation/Prediction of Solubilities of Pure Compounds in Water Using Artificial Neural Network−Group Contribution Method

Farhad Gharagheizi, Ali Eslamimanesh, Amir H. Mohammadi and Dominique Richon
Journal of Chemical & Engineering Data 56 (4) 720 (2011)
DOI: 10.1021/je101061t
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Experimental study of natural gas hydrates and a novel use of neural network to predict hydrate formation conditions

Mohammad Ghavipour, Mina Ghavipour, Minoo Chitsazan, Seyed Hessam Najibi and Saeed Shiry Ghidary
Chemical Engineering Research and Design 91 (2) 264 (2013)
DOI: 10.1016/j.cherd.2012.08.010
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Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen+water soluble organic promoters using Support Vector Machine algorithm

Ali Eslamimanesh, Farhad Gharagheizi, Mohammad Illbeigi, et al.
Fluid Phase Equilibria 316 34 (2012)
DOI: 10.1016/j.fluid.2011.11.029
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Handling a very large data set for determination of surface tension of chemical compounds using Quantitative Structure–Property Relationship strategy

Farhad Gharagheizi, Ali Eslamimanesh, Behnam Tirandazi, Amir H. Mohammadi and Dominique Richon
Chemical Engineering Science 66 (21) 4991 (2011)
DOI: 10.1016/j.ces.2011.06.052
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Development of a least squares support vector machine model for prediction of natural gas hydrate formation temperature

Mohammad Mesbah, Ebrahim Soroush and Mashallah Rezakazemi
Chinese Journal of Chemical Engineering 25 (9) 1238 (2017)
DOI: 10.1016/j.cjche.2016.09.007
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Robust Model for the Determination of Wax Deposition in Oil Systems

Arash Kamari, Abbas Khaksar-Manshad, Farhad Gharagheizi, Amir H. Mohammadi and Siavash Ashoori
Industrial & Engineering Chemistry Research 52 (44) 15664 (2013)
DOI: 10.1021/ie402462q
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Gas Hydrate Phase Equilibrium in Porous Media: Mathematical Modeling and Correlation

Amir H. Mohammadi, Ali Eslamimanesh, Dominique Richon, et al.
Industrial & Engineering Chemistry Research 51 (2) 1062 (2012)
DOI: 10.1021/ie201904r
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Prediction of Methane Uptake on Different Adsorbents in Adsorbed Natural Gas Technology Using a Rigorous Model

Ebrahim Soroush, Mohammad Mesbah, Amin Shokrollahi, Alireza Bahadori and Mohammad Hossein Ghazanfari
Energy & Fuels 28 (10) 6299 (2014)
DOI: 10.1021/ef501550p
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Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

Mohammad Saber Karambeigi, Ali Haghighi Asl and Masoud Nasiri
Oil & Gas Sciences and Technology – Revue d’IFP Energies nouvelles 73 4 (2018)
DOI: 10.2516/ogst/2017032
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A new methodology for the production of furfural as a renewable energy source from bagasse in acidic aqueous media

M. Yazdizadeh, M. R. Jafari Nasr and A. K. Safekordi
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40 (2) 125 (2018)
DOI: 10.1080/15567036.2016.1248801
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Reliable modeling of constant volume depletion (CVD) behaviors in gas condensate reservoirs

Adel Najafi-Marghmaleki, Afshin Tatar, Ali Barati-Harooni, et al.
Fuel 231 146 (2018)
DOI: 10.1016/j.fuel.2018.04.130
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Evolving a robust modeling tool for prediction of natural gas hydrate formation conditions

Ebrahim Soroush, Mohammad Mesbah, Amin Shokrollahi, et al.
Journal of Unconventional Oil and Gas Resources 12 45 (2015)
DOI: 10.1016/j.juogr.2015.09.002
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Prediction of natural gas hydrates formation using a combination of thermodynamic and neural network modeling

Noura Rebai, Ahmed Hadjadj, Abdelbaki Benmounah, Abdallah S. Berrouk and Salim M. Boualleg
Journal of Petroleum Science and Engineering 182 106270 (2019)
DOI: 10.1016/j.petrol.2019.106270
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Application of artificial intelligence techniques in the petroleum industry: a review

Hamid Rahmanifard and Tatyana Plaksina
Artificial Intelligence Review 52 (4) 2295 (2019)
DOI: 10.1007/s10462-018-9612-8
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Thermodynamic features-driven machine learning-based predictions of clathrate hydrate equilibria in the presence of electrolytes

Palash V. Acharya and Vaibhav Bahadur
Fluid Phase Equilibria 530 112894 (2021)
DOI: 10.1016/j.fluid.2020.112894
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A hybrid smart modeling approach for estimation of pure ionic liquids viscosity

Zohre Esmaeili-Jaghdan, Ahmad Shariati and Mohammad Reza Khosravi Nikou
Journal of Molecular Liquids 222 14 (2016)
DOI: 10.1016/j.molliq.2016.06.099
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A preliminary study of the gas hydrate stability zone in a gas hydrate potential region of China

Kun Xiao, Changchun Zou, Yaxin Yang, et al.
Energy Science & Engineering 8 (4) 1080 (2020)
DOI: 10.1002/ese3.569
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Development of Predictive Techniques for Estimating Liquid Water-Hydrate Equilibrium of Water-Hydrocarbon System

Amir H. Mohammadi and Dominique Richon
Journal of Thermodynamics 2009 1 (2009)
DOI: 10.1155/2009/120481
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Toward a Robust, Universal Predictor of Gas Hydrate Equilibria by Means of a Deep Learning Regression

Michael K. B. Landgrebe and Diakanua Nkazi
ACS Omega 4 (27) 22399 (2019)
DOI: 10.1021/acsomega.9b02961
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Gas hydrates in sustainable chemistry

Aliakbar Hassanpouryouzband, Edris Joonaki, Mehrdad Vasheghani Farahani, et al.
Chemical Society Reviews 49 (15) 5225 (2020)
DOI: 10.1039/C8CS00989A
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Extension of an Artificial Neural Network Algorithm for Estimating Sulfur Content of Sour Gases at Elevated Temperatures and Pressures

Mehdi Mehrpooya, Amir H. Mohammadi and Dominique Richon
Industrial & Engineering Chemistry Research 49 (1) 439 (2010)
DOI: 10.1021/ie900399b
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Excess Molar Enthalpies for the Binary and Ternary Mixtures of Cyclohexane, Tetrahydropyran, and Piperidine at 308.15 K and Atmospheric Pressure: Experimental Measurements and Correlations

Farid B. Belaribi, Ghénima Boukais-Belaribi, Amir H. Mohammadi and Dominique Richon
Journal of Chemical & Engineering Data 55 (1) 303 (2010)
DOI: 10.1021/je900347f
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Excess Molar Enthalpies for the Binary and Ternary Mixtures of Cyclohexane, Tetrahydropyran, and 1,4-Dioxane at 308.15 K and Atmospheric Pressure: Experimental Measurements and Correlations

Ghénima Boukais-Belaribi, Amir H. Mohammadi, Farid B. Belaribi and Dominique Richon
Journal of Chemical & Engineering Data 54 (9) 2513 (2009)
DOI: 10.1021/je900077g
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Predicting the Hydrate Stability Zones of Natural Gases Using Artificial Neural Networks

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