Mehdi Mahdaviara

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Alireza RostamiDepartment of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, IranGeverifieerd e-mailadres voor afp.put.ac.ir
Mohammad SharifiAssociate Professor, Amirkabir University of TechnologyGeverifieerd e-mailadres voor aut.ac.ir
Abdolhossein Hemmati-Sarapardeh ع...Associate Professor, Department of Petroleum Engineering, Shahid Bahonar University of KermanGeverifieerd e-mailadres voor uk.ac.ir
Mohammad Hossein GhazanfariSharif University of TechnologyGeverifieerd e-mailadres voor sharif.edu
Xiaoying ZhangJilin UniversityGeverifieerd e-mailadres voor jlu.edu.cn
Zhenxue DaiJilin UniversityGeverifieerd e-mailadres voor jlu.edu.cn
Nima ShokriProfessor of Geo-Hydroinformatics at Hamburg University of TechnologyGeverifieerd e-mailadres voor tuhh.de
Martin J BluntProfessor of Flow in Porous Media, Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
Mohammad Javad ShojaeiResearch Associate at Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
Javad SiavashiAmirkabir University of TechnologyGeverifieerd e-mailadres voor aut.ac.ir
Sahar BakhshianBureau of Economic Geology, Jackson School of Geosciences, University of TexasGeverifieerd e-mailadres voor beg.utexas.edu
Yousef RafieiAssistant Professor, Amirkabir University of TechnologyGeverifieerd e-mailadres voor aut.ac.ir
Mehdi OstadhassanCAU: Kiel UniversityGeverifieerd e-mailadres voor ifg.uni-kiel.de
Amir RaoofAssociate Professor in Department of Earth Sciences, Utrecht UniversityGeverifieerd e-mailadres voor geo.uu.nl
Khalil ShahbaziAssociate Professor of Petroleum University of TechnologyGeverifieerd e-mailadres voor put.ac.ir
Amin ShokrollahiThe University of AdelaideGeverifieerd e-mailadres voor adelaide.edu.au
Mohammad AhmadiProfessor of Petroleum Engineering, Amirkabir University of Technology (Tehran Polytechnic)Geverifieerd e-mailadres voor aut.ac.ir

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Mehdi Mahdaviara

Amirkabir University of Technology (AUT)

Geverifieerd e-mailadres voor aut.ac.ir

Fluid flow in porous media Artificial intelligence Reservoir engineering


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Accurate determination of permeability in carbonate reservoirs using Gaussian Process Regression M Mahdaviara, A Rostami, F Keivanimehr, K Shahbazi Journal of Petroleum Science and Engineering 196, 107807, 2021	43	2021
Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery M Mahdaviara, MN Amar, A Hemmati-Sarapardeh, Z Dai, C Zhang, T Xiao, ... Fuel 285, 119147, 2021	42	2021
State-of-the-art modeling permeability of the heterogeneous carbonate oil reservoirs using robust computational approaches M Mahdaviara, A Rostami, K Shahbazi Fuel 268, 117389, 2020	35	2020
Modeling relative permeability of gas condensate reservoirs: Advanced computational frameworks M Mahdaviara, NA Menad, MH Ghazanfari, A Hemmati-Sarapardeh Journal of Petroleum Science and Engineering 189, 106929, 2020	34	2020
Smart modeling of viscosity of viscoelastic surfactant self-diverting acids M Mahdaviara, A Rostami, A Helalizadeh, K Shahbazi Journal of Petroleum Science and Engineering 196, 107617, 2021	20	2021
Toward evaluation and screening of the enhanced oil recovery scenarios for low permeability reservoirs using statistical and machine learning techniques M Mahdaviara, M Sharifi, M Ahmadi Fuel 325, 124795, 2022	18	2022
Prediction of spontaneous imbibition in porous media using deep and ensemble learning techniques M Mahdaviara, M Sharifi, S Bakhshian, N Shokri Fuel 329, 125349, 2022	13	2022
On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques M Mahdaviara, A Larestani, MN Amar, A Hemmati-Sarapardeh Journal of Petroleum Science and Engineering 208, 109685, 2022	13	2022
Deep learning for multiphase segmentation of X-ray images of gas diffusion layers M Mahdaviara, MJ Shojaei, J Siavashi, M Sharifi, MJ Blunt Fuel 345, 128180, 2023	8	2023
Smart learning strategy for predicting viscoelastic surfactant (VES) viscosity in oil well matrix acidizing process using a rigorous mathematical approach M Mahdaviara, A Rostami, K Shahbazi SN Applied Sciences 3, 1-15, 2021	6	2021
PoreSeg: An unsupervised and interactive-based framework for automatic segmentation of X-ray tomography of porous materials M Mahdaviara, M Sharifi, Y Rafiei Advances in Water Resources 178, 104495, 2023	3	2023
On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches M Mahdaviara, MN Amar, M Ostadhassan, A Hemmati-Sarapardeh Alexandria Engineering Journal 61 (12), 11601-11614, 2022	2	2022
Estimating aqueous nanofluids viscosity via GEP modeling: Correlation development and data assessment M Mahdavi-Ara, A Rostami, K Shahbazi, A Shokrollahi, MH Ghazanfari Iranian Journal of Chemistry and Chemical Engineering 41 (1), 266-283, 2022	2	2022
A proposed capillary number dependent model for prediction of relative permeability in gas condensate reservoirs: a robust non-linear regression analysis M Mahdaviara, A Helalizadeh Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 75, 24, 2020	2	2020
Segmentation of two-phase flow X-ray tomography images to determine contact angle using deep autoencoders J Siavashi, M Mahdaviara, MJ Shojaei, M Sharifi, MJ Blunt Energy 288, 129698, 2024		2024
PoreSkel: Skeletonization of grayscale micro-CT images of porous media using deep learning techniques M Mahdaviara, M Sharifi, A Raoof Advances in Water Resources 180, 104544, 2023		2023
Toward prediction of land subsidence assisted by artificial intelligence approaches N Shokri, M Mahdaviara, S Ansari, M Sharifi EGU23, 2023		2023
Toward Smart Schemes for Modeling the Viscosity of Polymers Under Wide Ranges of Temperature and Salinity M Mahdaviara, M Sharifi

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