Abdolhossein Hemmati-Sarapardeh

发表

Comparative Analysis of Machine Learning Models for Nanofluids Viscosity Assessment

A. Mosavi, Mohammadhadi Shateri, Zeinab Sobhanigavgani, 2020, Nanomaterials.

Using an artificial neural network to predict carbon dioxide compressibility factor at high pressure and temperature

Abdolhossein Hemmati-Sarapardeh, E. Mohagheghian, Habiballah Zafarian-Rigaki, 2015, Korean Journal of Chemical Engineering.

Modeling gas/vapor viscosity of hydrocarbon fluids using a hybrid GMDH-type neural network system

B. Dabir, Abdolhossein Hemmati-Sarapardeh, Atefeh Dargahi-Zarandi, 2017 .

Modeling interfacial tension and minimum miscibility pressure in paraffin-nitrogen systems: Application to gas injection processes

Abdolhossein Hemmati-Sarapardeh, E. Mohagheghian, A. Hemmati-Sarapardeh, 2017 .

A computational intelligence scheme for estimating electrical conductivity of ternary mixtures containing ionic liquids

Mohsen Hosseinzadeh, Abdolhossein Hemmati-Sarapardeh, F. Ameli, 2016 .

Modeling interfacial tension of methane-brine systems at high pressure and high salinity conditions

Abdolhossein Hemmati-Sarapardeh, M. N. Amar, Menad Nait Amar, 2020 .

Application of Wilcoxon generalized radial basis function network for prediction of natural gas compressibility factor

A. Mohammadi, Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, 2015 .

Accurate determination of the CO2‐crude oil minimum miscibility pressure of pure and impure CO2 streams: A robust modelling approach

S. Ayatollahi, Abdolhossein Hemmati-Sarapardeh, M. Masihi, 2016 .

Development of robust generalized models for estimating the normal boiling points of pure chemical compounds

A. Mohammadi, B. Dabir, Amir Varamesh, 2017 .

Modeling minimum miscibility pressure during pure and impure CO 2 flooding using hybrid of radial basis function neural network and evolutionary techniques

B. Dabir, Abdolhossein Hemmati-Sarapardeh, M. Husein, 2018 .

Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling, Least Squares Support Vector Machine, and Artificial Neural Networks

S. Zendehboudi, A. Bemani, Abdolhossein Hemmati-Sarapardeh, 2020, Nanomaterials.

Modeling viscosity of methane, nitrogen, and hydrocarbon gas mixtures at ultra-high pressures and temperatures using group method of data handling and gene expression programming techniques

Amir H. Mohammadi, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, 2020 .

A smooth model for the estimation of gas/vapor viscosity of hydrocarbon fluids

Amir H. Mohammadi, Arash Kamari, Abdolhossein Hemmati-Sarapardeh, 2015 .

On the evaluation of asphaltene precipitation titration data: Modeling and data assessment

Amir H. Mohammadi, Abdolhossein Hemmati-Sarapardeh, Bahram Dabir, 2016 .

Modeling asphaltene precipitation during natural depletion of reservoirs and evaluating screening criteria for stability of crude oils

Amir H. Mohammadi, Abdolhossein Hemmati-Sarapardeh, Bahram Dabir, 2019, Journal of Petroleum Science and Engineering.

Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model

Ali Naseri, Farhad Gharagheizi, Amir H. Mohammadi, 2013 .

Experimental Determination of Interfacial Tension and Miscibility of the CO2–Crude Oil System; Temperature, Pressure, and Composition Effects

S. Ayatollahi, Abdolhossein Hemmati-Sarapardeh, M. Masihi, 2014 .

Determination of asphaltene precipitation conditions during natural depletion of oil reservoirs: A robust compositional approach

A. Mohammadi, B. Dabir, Abdolhossein Hemmati-Sarapardeh, 2016 .

Modelling asphaltene precipitation titration data: A committee of machines and a group method of data handling

A. Mohammadi, B. Dabir, Abdolhossein Hemmati-Sarapardeh, 2018, The Canadian Journal of Chemical Engineering.

A review on zeolitic imidazolate frameworks use for crude oil spills cleanup

M. Ranjbar, M. Schaffie, Abdolhossein Hemmati-Sarapardeh, 2019, Advances in Geo-Energy Research.

On the evaluation of Alkaline‐Surfactant‐Polymer flooding in a field scale: Screening, modelling, and optimization

Abdolhossein Hemmati-Sarapardeh, Shahab Gerami, Arash Azamifard, 2017 .

ZIF-8/carbon fiber for continuous adsorption of sodium dodecyl sulfate (SDS) from aqueous solutions: Kinetics and equilibrium studies

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, M. Husein, 2021, Journal of Water Process Engineering.

Modeling interfacial tension of normal alkane-supercritical CO2 systems: Application to gas injection processes

A. Tatar, S. Ayatollahi, Abdolhossein Hemmati-Sarapardeh, 2019, Fuel.

Estimation of minimum miscibility pressure (MMP) in enhanced oil recovery (EOR) process by N2 flooding using different computational schemes

A. Mohammadi, A. Tatar, A. Barati-Harooni, 2019, Fuel.

Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure

Mohammad Sharifi, Abdolhossein Hemmati-Sarapardeh, Sassan Hajirezaie, 2017 .

Reservoir oil viscosity determination using a rigorous approach

Ali Naseri, Farhad Gharagheizi, Amir H. Mohammadi, 2014 .

Prediction of sour gas compressibility factor using an intelligent approach

Amir H. Mohammadi, Arash Kamari, Abdolhossein Hemmati-Sarapardeh, 2013 .

Towards Mechanistic Understanding of Steam Assisted Gravity Drainage in Naturally Fractured Reservoirs

A. Mohammadi, Abdolhossein Hemmati-Sarapardeh, Shayan Esfahani, 2015 .

A soft-computing technique for prediction of water activity in PEG solutions

H. Mirshekar, Abdolhossein Hemmati-Sarapardeh, S. Atashrouz, 2017, Colloid and Polymer Science.

Data-driven modeling of interfacial tension in impure CO2-brine systems with implications for geological carbon storage

K. Karan, B. Dabir, Abdolhossein Hemmati-Sarapardeh, 2019, International Journal of Greenhouse Gas Control.

Experimental measurement of equilibrium interfacial tension of enriched miscible gas–crude oil systems

A. Mohammadi, A. Naseri, Abdolhossein Hemmati-Sarapardeh, 2015 .

On the evaluation of asphaltene adsorption onto dolomite surface: The roles of flow condition, composition of asphaltene, and dolomite size

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, 2022, Alexandria Engineering Journal.

Modeling oil-brine interfacial tension at high pressure and high salinity conditions

Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, M. N. Amar, 2019 .

Experimental measurement and modeling of saturated reservoir oil viscosity

A. Mohammadi, Abdolhossein Hemmati-Sarapardeh, B. Mahmoudi, 2014, Korean Journal of Chemical Engineering.

Toward mechanistic understanding of heavy crude oil/brine interfacial tension: The roles of salinity, temperature and pressure

S. Ayatollahi, Abdolhossein Hemmati-Sarapardeh, M. Masihi, 2014 .

Experimental Measurement and Equilibrium Modeling of Adsorption of Asphaltenes from Various Origins onto the Magnetite Surface under Static and Dynamic Conditions

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, 2021, ACS omega.

Evaluation of asphaltene adsorption on minerals of dolomite and sandstone formations in two and three-phase systems

M. Ranjbar, Abdolhossein Hemmati-Sarapardeh, Saeid Norouzi-Apourvari, 2021 .

Toward mechanistic understanding of asphaltene adsorption onto quartz surface: The roles of size, concentration, and hydrophobicity of quartz, asphaltene composition, flow condition, and aqueous phase

M. Ranjbar, M. Schaffie, Abdolhossein Hemmati-Sarapardeh, 2021 .

Integrating advanced soft computing techniques with experimental studies for pore structure analysis of Qingshankou shale in Southern Songliao Basin, NE China

Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, Kouqi Liu, 2022, International Journal of Coal Geology.

Application of intelligent models in drilling engineering

Abdolhossein Hemmati-Sarapardeh, M. N. Amar, S. Hajirezaie, 2020 .

An experimental study of Nanosilica application in reducing calcium sulfate scale at high temperatures during high and low salinity water injection

A. Tatar, Abdolhossein Hemmati-Sarapardeh, A. Rostami, 2019, Journal of Petroleum Science and Engineering.

On the evaluation of density of ionic liquid binary mixtures: Modeling and data assessment

Abdolhossein Hemmati-Sarapardeh, Sassan Hajirezaie, Ahmad Mozafari, 2016 .

Application of gene expression programming for predicting density of binary and ternary mixtures of ionic liquids and molecular solvents

Abdolhossein Hemmati-Sarapardeh, M. N. Amar, Menad Nait Amar, 2020 .

1 Modeling Natural Gas Compressibility Factor Using 2 a Hybrid Group Method of Data Handling 3

S. Shamshirband, A. Mosavi, Abdolhossein Hemmati-Sarapardeh, 2019 .

Development of a robust model for prediction of under-saturated reservoir oil viscosity

B. Dabir, Abdolhossein Hemmati-Sarapardeh, Maysam Pournik, 2017 .

A comprehensive study of phase equilibria in binary mixtures of carbon dioxide + alcohols: Application of a hybrid intelligent model (CSA-LSSVM)

H. Taghvaei, Abdolhossein Hemmati-Sarapardeh, H. Taghvaei, 2016 .

On the evaluation of thermal conductivity of ionic liquids: Modeling and data assessment

M. Moraveji, H. Mirshekar, Abdolhossein Hemmati-Sarapardeh, 2016 .

Modeling minimum miscibility pressure of pure/impure CO2-crude oil systems using adaptive boosting support vector regression: Application to gas injection processes

Nait Amar Menad, Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, 2020 .

Implementation of soft computing approaches for prediction of physicochemical properties of ionic liquid mixtures

M. Moraveji, H. Mirshekar, Abdolhossein Hemmati-Sarapardeh, 2017, Korean Journal of Chemical Engineering.

A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures

S. Ayatollahi, Abdolhossein Hemmati-Sarapardeh, Mohammad Fathinasab, 2015 .

Viscosity of Ionic Liquids: Application of the Eyring’s Theory and a Committee Machine Intelligent System

A. Mosavi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, 2020, Molecules.

Modeling of Brine/CO2/Mineral Wettability Using Gene Expression Programming (GEP): Application to Carbon Geo-Sequestration

Abdolhossein Hemmati-Sarapardeh, M. N. Amar, T. Gentzis, 2022, Minerals.

Modeling viscosity of crude oil using k-nearest neighbor algorithm

Mohammad Reza Mahdiani, Abdolhossein Hemmati-Sarapardeh, E. Khamehchi, 2020 .

Machine Learning Assisted Structure-based Models for Predicting Electrical Conductivity of Ionic Liquids

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2022, Journal of Molecular Liquids.

Modeling interfacial tension in N2/n-alkane systems using corresponding state theory: Application to gas injection processes

Shahaboddin Shamshirband, Abdolhossein Hemmati-Sarapardeh, Mahin Schaffie, 2018, Fuel.

On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches

Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, Menad Nait Amar, 2022, Alexandria Engineering Journal.

Modelling rate of penetration in drilling operations using RBF, MLP, LSSVM, and DT models

H. Jalalifar, Mohammadhadi Shateri, Abdolhossein Hemmati-Sarapardeh, 2022, Scientific Reports.

Laboratory evaluation of nitrogen injection for enhanced oil recovery: Effects of pressure and induced fractures

M. Ranjbar, M. Schaffie, S. Ayatollahi, 2019, Fuel.

On the evaluation of thermal conductivity of nanofluids using advanced intelligent models

Amir Varamesh, Abdolhossein Hemmati-Sarapardeh, M. N. Amar, 2020 .

Compositional Modeling of the Oil Formation Volume Factor of Crude Oil Systems: Application of Intelligent Models and Equations of State

Abdolhossein Hemmati-Sarapardeh, M. Ostadhassan, Aydin Larestani, 2022, ACS omega.

Experimental study and modelling of asphaltene deposition on metal surfaces with superhydrophobic and low sliding angle inner coatings

M. Schaffie, A. Mosavi, Abdolhossein Hemmati-Sarapardeh, 2021, Scientific Reports.

Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2022, Scientific Reports.

New insights into permeability determination by coupling Stoneley wave propagation and conventional petrophysical logs in carbonate oil reservoirs

Abdolhossein Hemmati-Sarapardeh, A. Rostami, A. Helalizadeh, 2022, Scientific Reports.

Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, S. Atashrouz, 2022, Scientific Reports.

Iterative Ensemble Kalman Filter and genetic algorithm for automatic reconstruction of relative permeability curves in the subsurface multi-phase flow

Abdolhossein Hemmati-Sarapardeh, Mohsen Talebkeikhah, M. Sharifi, 2020 .

Chemical Structure and Thermodynamic Properties Based Models for Estimating Nitrous Oxide Solubility in Ionic Liquids: Equations of State and Machine Learning Approaches

Abdolhossein Hemmati-Sarapardeh, K. Jabbour, Ahmad Mohaddespour, 2022, Journal of Molecular Liquids.

Prediction of hydrogen solubility in aqueous solutions: Comparison of equations of state and advanced machine learning-metaheuristic approaches

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2022, International Journal of Hydrogen Energy.

Metal-organic frameworks as advanced sorbents for oil/water separation

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, A. Khataee, 2022, Journal of Molecular Liquids.

Modeling solubility of oxygen in ionic liquids using deep belief network and extreme gradient boosting: Chemical structure-based approaches versus thermodynamic models

Abdolhossein Hemmati-Sarapardeh, K. Jabbour, Ahmad Mohaddespour, 2022, Fluid Phase Equilibria.

Introducing a Novel Approach for Oil‐Oil Correlation based on Asphaltene Structure: X‐ray Diffraction

Abdolhossein Hemmati-Sarapardeh, Zahra Sadeghtabaghi, A. Rabbani, 2021, Acta Geologica Sinica - English Edition.

Development of a powerful zeolitic imidazolate framework (ZIF-8)/carbon fiber nanocomposite for separation of hydrocarbons and crude oil from wastewater

M. Ranjbar, M. Schaffie, Abdolhossein Hemmati-Sarapardeh, 2020 .

Insights into the Effects of Pore Size Distribution on the Flowing Behavior of Carbonate Rocks: Linking a Nano-Based Enhanced Oil Recovery Method to Rock Typing

H. Abdollahi, A. Mosavi, A. Rezaei, 2020, Nanomaterials.

Modeling hydrogen solubility in alcohols using group method of data handling and genetic programming

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, S. Atashrouz, 2022, International Journal of Hydrogen Energy.

New indexes for thermal maturity assessment based on asphaltene fraction

Abdolhossein Hemmati-Sarapardeh, Zahra Sadeghtabaghi, A. Rabbani, 2022, Journal of Petroleum Science and Engineering.

Application of Nanosilica for inhibition of fines migration during low salinity water injection: Experimental study, mechanistic understanding, and model development

Abdolhossein Hemmati-Sarapardeh, M. Motie, A. Rostami, 2019, Fuel.

Experimental study and modeling of asphaltene deposition on metal surfaces via electrodeposition process: The role of ultrasonic radiation, asphaltene concentration and structure

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, Saeid Norouzi-Apourvari, 2020 .

Evaluation of corrosion performance of superhydrophobic PTFE and nanosilica coatings

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, Saeid Norouzi-Apourvari, 2022, Scientific Reports.

Experimental evaluation of thermal maturity of crude oil samples by asphaltene fraction: Raman spectroscopy and X-ray diffraction

Abdolhossein Hemmati-Sarapardeh, Zahra Sadeghtabaghi, A. Rabbani, 2021 .

Effect of asphaltene structure on its aggregation behavior in toluene-normal alkane mixtures

A. Mohammadi, B. Dabir, Abdolhossein Hemmati-Sarapardeh, 2020 .

Modeling of nitrogen solubility in normal alkanes using machine learning methods compared with cubic and PC-SAFT equations of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2021, Scientific Reports.

On the evaluation of crude oil oxidation during thermogravimetry by generalised regression neural network and gene expression programming: application to thermal enhanced oil recovery

Abdolhossein Hemmati-Sarapardeh, Mahin Schaffie, Maen M. Husein, 2021, Combustion Theory and Modelling.

Experimental measurement and modeling of asphaltene adsorption onto iron oxide and lime nanoparticles in the presence and absence of water

M. Schaffie, Abdolhossein Hemmati-Sarapardeh, Saeid Norouzi-Apourvari, 2023, Scientific Reports.

Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state

A. Mosavi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, 2021, Scientific Reports.

Integrating new emerging technologies for enhanced oil recovery: Ultrasonic, microorganism, and emulsion

M. Ranjbar, M. Schaffie, Abdolhossein Hemmati-Sarapardeh, 2020 .

Integrating synthesized citric acid-coated magnetite nanoparticles with magnetic fields for enhanced oil recovery: Experimental study and mechanistic understanding

M. Ranjbar, M. Schaffie, Abdolhossein Hemmati-Sarapardeh, 2019, Journal of Petroleum Science and Engineering.

Toward a predictive model for estimating viscosity of ternary mixtures containing ionic liquids

Abdolhossein Hemmati-Sarapardeh, Mohsen Hosseinzadeh, Abdolhossein Hemmati-Sarapardeh, 2014 .

Modelling density of pure and binary mixtures of normal alkanes: Comparison of hybrid soft computing techniques, gene expression programming, and equations of state

Abdolhossein Hemmati-Sarapardeh, M. N. Amar, Reza Nakhaei-Kohani, 2021, Journal of Petroleum Science and Engineering.

Modeling surface tension of ionic liquids by chemical structure-intelligence based models

Abdolhossein Hemmati-Sarapardeh, Menad Nait Amar, Fahimeh Hadavimoghaddam, 2021, Journal of Molecular Liquids.

Modeling of nitrogen solubility in unsaturated, cyclic, and aromatic hydrocarbons: Deep learning methods and SAFT equation of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, A. Abedi, 2021, Journal of the Taiwan Institute of Chemical Engineers.

Modeling viscosity of light and intermediate dead oil systems using advanced computational frameworks and artificial neural networks

Ehsan Khamehchi, Abdolhossein Hemmati-Sarapardeh, Mohammad Reza Mahdiani, 2020 .

A soft computing approach for the determination of crude oil viscosity: Light and intermediate crude oil systems

Babak Aminshahidy, Abdolhossein Hemmati-Sarapardeh, Seyed Hamidreza Yousefi, 2016 .

Modeling hydrogen solubility in alcohols using machine learning models and equations of state

Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour, S. Atashrouz, 2021, Journal of Molecular Liquids.

Toward reservoir oil viscosity correlation

Ali Naseri, Amir H. Mohammadi, M. Khishvand, 2013 .