Mohsen Talebkeikhah

About Mohsen Talebkeikhah

Mohsen Talebkeikhah, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Geomechanics, Hydraulic Fracturing, Data Science, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Corrigendum to “Application of amorphous silica nanoparticles in improving the rheological properties, filtration and shale stability of glycol-based drilling fluids …

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Experimental investigation of hydraulic fracture closure in a porous sandstone

A comparison of machine learning approaches for prediction of permeability using well log data in the hydrocarbon reservoirs

Prediction of vitrinite reflectance values using machine learning techniques: a new approach

Improving the thermal conductivity of ethylene glycol by addition of hybrid nano-materials containing multi-walled carbon nanotubes and titanium dioxide: applicable for cooling …

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

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

Mohsen Talebkeikhah Information

University

Position

Doctoral assistant Geo-Energy Lab

Citations(all)

518

Citations(since 2020)

517

Cited By

149

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Mohsen Talebkeikhah Skills & Research Interests

Geomechanics

Hydraulic Fracturing

Data Science

Machine Learning

Top articles of Mohsen Talebkeikhah

Corrigendum to “Application of amorphous silica nanoparticles in improving the rheological properties, filtration and shale stability of glycol-based drilling fluids …

International Communications in Heat and Mass Transfer

2023/7/1

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

International Journal of Environmental Analytical Chemistry

2022/12/16

Experimental investigation of hydraulic fracture closure in a porous sandstone

2022/11/7

A comparison of machine learning approaches for prediction of permeability using well log data in the hydrocarbon reservoirs

Applied Sciences

2022/12/26

Prediction of vitrinite reflectance values using machine learning techniques: a new approach

Journal of Petroleum Exploration and Production

2021/2

Improving the thermal conductivity of ethylene glycol by addition of hybrid nano-materials containing multi-walled carbon nanotubes and titanium dioxide: applicable for cooling …

Journal of Thermal Analysis and Calorimetry

2021/1

Mohsen Talebkeikhah
Mohsen Talebkeikhah

H-Index: 6

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

International Journal of Environmental Analytical Chemistry

2021/11/14

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

Journal of Petroleum Science and Engineering

2020/9/1

Application of amorphous silica nanoparticles in improving the rheological properties, filtration and shale stability of glycol-based drilling fluids

International Communications in Heat and Mass Transfer

2020/6/1

Experimental measurement and compositional modeling of crude oil viscosity at reservoir conditions

Journal of Petroleum Science and Engineering

2022/5/1

On evaluation of thermophysical properties of transformer oil-based nanofluids: a comprehensive modeling and experimental study

Journal of Molecular Liquids

2020/2/15

See List of Professors in Mohsen Talebkeikhah University(École Polytechnique Fédérale de Lausanne)

Co-Authors

academic-engine