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Mohammad Mehrad

Observed name: Mehrad, Mohammad
ORCID: 0000-0002-3623-2474
Observed ORCID: 0000-0002-3623-2474
OpenAlex ID: A5024312801
Carbon dioxide sequestration through enhanced oil recovery: A review of storage mechanisms and technological applications
2024 · Shadfar Davoodi, Mohammed Al-Shargabi, et al. · Fuel · 181
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites
2023 · Shadfar Davoodi, Hung Vo Thanh, et al. · Expert Systems with Applications · 109
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
2022 · Meysam Rajabi, Omid Hazbeh, et al. · Journal of Petroleum Exploration and Production Technology · 102
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A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning
2020 · Nima Mohamadian, Hamzeh Ghorbani, et al. · Journal of Petroleum Science and Engineering · 101
Hybrid machine learning algorithms to enhance lost-circulation prediction and management in the Marun oil field
2020 · Mohammad Sabah, Mohammad Mehrad, et al. · Journal of Petroleum Science and Engineering · 92
Underground hydrogen storage: A review of technological developments, challenges, and opportunities
2024 · Shadfar Davoodi, Mohammed Al-Shargabi, et al. · Applied Energy · 83
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
2023 · Shadfar Davoodi, Hung Vo Thanh, et al. · Separation and Purification Technology · 82
Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields
2021 · Abouzar Rajabi Behesht Abad, Hamzeh Ghorbani, et al. · Fuel · 82
Developing a new rigorous drilling rate prediction model using a machine learning technique
2020 · Mohammad Mehrad, Mahdi Bajolvand, et al. · Journal of Petroleum Science and Engineering · 80
Prediction of permeability from well logs using a new hybrid machine learning algorithm
2022 · Morteza Matinkia, Romina Hashami, et al. · Petroleum · 73
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Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
2023 · Shadfar Davoodi, Mohammad Mehrad, et al. · Engineering Applications of Artificial Intelligence · 65
Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning
2023 · Shadfar Davoodi, Mohammad Mehrad, et al. · International Journal of Rock Mechanics and Mining Sciences · 64
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations
2023 · Shadfar Davoodi, Hung Vo Thanh, et al. · Applied Soft Computing · 62
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
2021 · Sina Rashidi, Mohammad Mehrad, et al. · Journal of Petroleum Science and Engineering · 62
A novel approach to pore pressure modeling based on conventional well logs using convolutional neural network
2022 · Morteza Matinkia, Ali Amraeiniya, et al. · Journal of Petroleum Science and Engineering · 48
Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms
2022 · Mohammad Mehrad, Ahmad Ramezanzadeh, et al. · Journal of Petroleum Science and Engineering · 44
Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes
2020 · Hamzeh Ghorbani, David A. Wood, et al. · Flow Measurement and Instrumentation · 43
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study
2024 · Shadfar Davoodi, Hung Vo Thanh, et al. · Expert Systems with Applications · 42
Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms
2022 · Amirhossein Sheykhinasab, Amir Ali Mohseni, et al. · Journal of Petroleum Exploration and Production Technology · 42
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Developing a New Model for Drilling Rate of Penetration Prediction Using Convolutional Neural Network
2022 · Morteza Matinkia, Amirhossein Sheykhinasab, et al. · Arabian Journal for Science and Engineering · 32
Robust machine-learning model for prediction of carbon dioxide adsorption on metal-organic frameworks
2024 · Promise O. Longe, Shadfar Davoodi, et al. · Journal of Alloys and Compounds · 31
Carbon dioxide storage and cumulative oil production predictions in unconventional reservoirs applying optimized machine-learning models
2024 · Shadfar Davoodi, Hung Vo Thanh, et al. · Petroleum Science · 31
Combined Deep Learning and Optimization for Hydrogen-Solubility Prediction in Aqueous Systems Appropriate for Underground Hydrogen Storage Reservoirs
2024 · Promise O. Longe, Shadfar Davoodi, et al. · Energy & Fuels · 28
A new robust predictive model for lost circulation rate using convolutional neural network: A case study from Marun Oilfield
2022 · Farshad Jafarizadeh, Babak Larki, et al. · Petroleum · 26
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Optimization of controllable drilling parameters using a novel geomechanics-based workflow
2022 · Mahdi Bajolvand, Ahmad Ramezanzadeh, et al. · Journal of Petroleum Science and Engineering · 22
Works count: 49
Citation count: 1,798
H-index: 24
I10-index: 33
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