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Behnam Amiri-Ramsheh
Institution:
Shahid Bahonar University of Kerman
Observed institution:
Shahid Bahonar University of Kerman
ORCID:
0009-0004-4686-2711
Observed ORCID:
0009-0004-4686-2711
OpenAlex ID:
A5015893995
Modeling of wax disappearance temperature (WDT) using soft computing approaches: Tree-based models and hybrid models
2021
·
Behnam Amiri-Ramsheh
, Majid Safaei-Farouji
, et al.
·
Journal of Petroleum Science and Engineering
·
46
Modeling Viscosity of CO2–N2 Gaseous Mixtures Using Robust Tree-Based Techniques: Extra Tree, Random Forest, GBoost, and LightGBM
2023
·
Haimin Zheng
, Atena Mahmoudzadeh
, et al.
·
ACS Omega
·
41
PDF
Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state
2024
·
Qichao Lv
, Tongke Zhou
, et al.
·
International Journal of Hydrogen Energy
·
37
Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms
2023
·
Ali Rashidi-Khaniabadi
, Elham Rashidi-Khaniabadi
, et al.
·
Scientific Reports
·
37
PDF
Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine
2024
·
Atena Mahmoudzadeh
, Behnam Amiri-Ramsheh
, et al.
·
Scientific Reports
·
33
Modeling thermo-physical properties of hydrogen utilizing machine learning schemes: Viscosity, density, diffusivity, and thermal conductivity
2024
·
Qichao Lv
, Zhaomin Li
, et al.
·
International Journal of Hydrogen Energy
·
32
A comparative study of machine learning frameworks for predicting CO2 conversion into light olefins
2024
·
Mehdi Sedighi
, Majid Mohammadi
, et al.
·
Fuel
·
23
Modeling wax deposition of crude oils using cascade forward and generalized regression neural networks: Application to crude oil production
2023
·
Behnam Amiri-Ramsheh
, Reza Zabihi
, et al.
·
Geoenergy Science and Engineering
·
23
Modeling thermal conductivity of hydrogen-based binary gaseous mixtures using generalized regression neural network
2024
·
Arefeh Naghizadeh
, Behnam Amiri-Ramsheh
, et al.
·
International Journal of Hydrogen Energy
·
22
Modeling apparent viscosity of waxy crude oils doped with polymers using tree-based models, radial basis function neural networks, and Gaussian process regression
2024
·
Mohammed Sadeq Adnan
, Majid Safaei-Farouji
, et al.
·
Geoenergy Science and Engineering
·
21
Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state
2025
·
Behnam Amiri-Ramsheh
, Aydin Larestani
, et al.
·
Results in Engineering
·
20
Extensive data analysis and modelling of carbon dioxide solubility in ionic liquids using chemical structure-based ensemble learning approaches
2024
·
Reza Nakhaei-Kohani
, Behnam Amiri-Ramsheh
, et al.
·
Fluid Phase Equilibria
·
20
On the evaluation of the carbon dioxide solubility in polymers using gene expression programming
2023
·
Behnam Amiri-Ramsheh
, Menad Nait Amar
, et al.
·
Scientific Reports
·
17
PDF
Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models
2025
·
Behnam Amiri-Ramsheh
, Sara Sahebalzamani
, et al.
·
Scientific Reports
·
12
PDF
Modeling residue formation from crude oil oxidation using tree-based machine learning approaches
2025
·
Mohammad-Reza Mohammadi
, Seyyed-Mohammad-Mehdi Hosseini
, et al.
·
Scientific Reports
·
8
PDF
Modeling CO2 loading capacity of triethanolamine (TEA) aqueous solutions via a deep learning approach
2024
·
Fahimeh Hadavimoghaddam
, Behnam Amiri-Ramsheh
, et al.
·
Energy
·
7
Enhancing predictions of coal strength variations induced by CO2 exposure through advanced deep learning and machine learning techniques
2025
·
Mohammad-Reza Mohammadi
, Zhaomin Li
, et al.
·
Fuel
·
6
Leveraging advanced ensemble learning techniques for methane uptake prediction in metal organic frameworks
2025
·
Aydin Larestani
, Behnam Amiri-Ramsheh
, et al.
·
Scientific Reports
·
5
PDF
Steam flooding (steam drive)
2023
·
Hassan Divandari
, Behnam Amiri-Ramsheh
, et al.
·
Elsevier eBooks
·
4
Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP
2024
·
Fahimeh Hadavimoghaddam
, Behnam Amiri-Ramsheh
, et al.
·
Discover Applied Sciences
·
2
PDF
Modeling interfacial tension between n-alkanes and aqueous systems containing surfactants and nanoparticles
2026
·
Behnam Amiri-Ramsheh
, Seyyed-Mohammad-Mehdi Hosseini
, et al.
·
Unconventional Resources
·
1
Predictive modeling of wax appearance temperature (WAT) using advanced machine learning algorithms: Application to oil recovery and production
2026
·
Behnam Amiri-Ramsheh
, Leila Zeinolabedini
, et al.
·
Alexandria Engineering Journal
Prediction of the apparent viscosity of CO2-foam using machine-learning techniques: Application of black-box and white-box algorithms
2026
·
Hossein Ghalenavi
, Abdolhossein Hemmati-Sarapardeh
, et al.
·
Petroleum Research
PDF
Interpretable machine learning-based modelling of minimum miscibility pressure in hydrocarbon gas injection processes
2026
·
Reza Nakhaei-Kohani
, Behnam Amiri-Ramsheh
, et al.
·
Modeling Earth Systems and Environment
PDF
Modeling the Interfacial Dynamics of Carbonated Water-Crude Oil Systems Using Intelligent Boosting Algorithms
2025
·
Qichao Lv
, Jinglei Xue
, et al.
·
SPE Journal
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Works count:
27
Citation count:
417
H-index:
13
I10-index:
14
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