Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Farshad Sadeghpour
Institutions:
Petroleum University of Technology,
Christian-Albrechts-Universität zu Kiel,
Northeast Petroleum University
Observed institutions:
Petroleum University of Technology,
Christian-Albrechts-Universität zu Kiel,
Northeast Petroleum University
ORCID:
0009-0006-8248-5401
Observed ORCID:
0009-0006-8248-5401
OpenAlex ID:
A5095780471
Storage efficiency prediction for feasibility assessment of underground CO2 storage: Novel machine learning approaches
2025
·
Farshad Sadeghpour
·
Energy
·
18
An eigenvalue-driven framework for the ranking and selection of optimal geological CO2 storage sites
2025
·
Soha Iranfar
, Farshad Sadeghpour
, et al.
·
Results in Engineering
·
15
Comparison of geomechanical upscaling methods for prediction of elastic modulus of heterogeneous media
2024
·
Farshad Sadeghpour
, Ardavan Darkhal
, et al.
·
Geoenergy Science and Engineering
·
14
A new petrophysical-mathematical approach to estimate RQI and FZI parameters in carbonate reservoirs
2025
·
Farshad Sadeghpour
, Kamran Jahangiri
, et al.
·
Journal of Petroleum Exploration and Production Technology
·
10
Effect of stress on fracture development in the Asmari reservoir in the Zagros Thrust Belt
2024
·
Ghasem Aghli
, Babak Aminshahidy
, et al.
·
Journal of Rock Mechanics and Geotechnical Engineering
·
10
Multi-criteria framework for ranking geological sites in underground hydrogen storage
2025
·
Soha Iranfar
, Farshad Sadeghpour
, et al.
·
Environmental Science Advances
·
9
PDF
Effects of Rapid Thermal Exposure from Igneous Intrusions on the Pore Structure, Thermal Maturity, and Nanomechanical Properties of Coal and Shale
2025
·
Megha Chowdhury
, Kripamoy Sarkar
, et al.
·
Energy & Fuels
·
6
PDF
Elastic properties of anisotropic rocks using an stepwise loading framework in a true triaxial testing apparatus
2025
·
Farshad Sadeghpour
, Hem Bahadur Motra
, et al.
·
Geoenergy Science and Engineering
·
6
CO2 storage capacity estimation in underground geological sites using innovative data-driven techniques
2026
·
Dianjie Sui
, Dianxue Sui
, et al.
·
Energy
·
5
Predicting drilling fluid lost circulation volume and radius using petrophysical well logs and machine learning approaches
2026
·
Farshad Sadeghpour
, Seyed Reza Shadizadeh
, et al.
·
Scientific Reports
·
1
PDF
Developing a new mathematical model between formation permeability and invasion radius using deep learning and genetic algorithm
2026
·
Farshad Sadeghpour
, Bijan Beiranvand
, et al.
·
Discover Geoscience
PDF
An intelligent prediction of CO2 leakage in underground geological storage sites
2026
·
Guanliang Zhang
, Haoxian Liu
, et al.
·
Physics and Chemistry of the Earth Parts A/B/C
PDF
Techno-economic assessment of underground methane storage using advanced multi-criteria decision-making models
2026
·
Yunshu Lv
, Yuxue Sun
, et al.
·
Energy Conversion and Management X
Show more works
View as search
Works count:
13
Citation count:
94
H-index:
6
I10-index:
5
Year
Topic
Type