Mehdi Mahdaviara

发表

Accurate determination of permeability in carbonate reservoirs using Gaussian Process Regression

K. Shahbazi, Farhad Keivanimehr, A. Rostami, 2021 .

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.

Prediction of spontaneous imbibition in porous media using deep and ensemble learning techniques

Sahar Bakhshian, N. Shokri, Mehdi Mahdaviara, 2022, Fuel.

State-of-the-art modeling permeability of the heterogeneous carbonate oil reservoirs using robust computational approaches

Alireza Rostami, Mehdi Mahdaviara, Khalil Shahbazi, 2020 .

Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery

Abdolhossein Hemmati-Sarapardeh, Zhenxue Dai, Ting Xiao, 2021 .

A proposed capillary number dependent model for prediction of relative permeability in gas condensate reservoirs: a robust non-linear regression analysis

A. Helalizadeh, Mehdi Mahdaviara, 2020, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles.

Smart modeling of viscosity of viscoelastic surfactant self-diverting acids

Khalil Shahbazi, Alireza Rostami, Abbas Helalizadeh, 2021 .

Smart learning strategy for predicting viscoelastic surfactant (VES) viscosity in oil well matrix acidizing process using a rigorous mathematical approach

Khalil Shahbazi, Alireza Rostami, Mehdi Mahdaviara, 2021, SN Applied Sciences.

On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques

Menad Nait Amar, Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, 2022 .

Modeling relative permeability of gas condensate reservoirs: Advanced computational frameworks

Abdolhossein Hemmati-Sarapardeh, Mohammad Hossein Ghazanfari, Mehdi Mahdaviara, 2020, Journal of Petroleum Science and Engineering.

Toward evaluation and screening of the enhanced oil recovery scenarios for low permeability reservoirs using statistical and machine learning techniques

M. Sharifi, Mehdi Mahdaviara, M. Ahmadi, 2022, Fuel.

PoreSeg: An unsupervised and interactive-based framework for automatic segmentation of X-ray tomography of porous materials

Y. Rafiei, Mehdi Mahdaviara, Mohammad Sharifi, 2023, Advances in Water Resources.

Deep learning for multiphase segmentation of X-ray images of gas diffusion layers

M. Blunt, Mehdi Mahdaviara, M. Shojaei, 2023, Fuel.

Segmentation of two-phase flow X-ray tomography images to determine contact angle using deep autoencoders

M. Blunt, Mehdi Mahdaviara, M. Shojaei, 2023, Energy.