| Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models DA Otchere, TOA Ganat, R Gholami, S Ridha Journal of Petroleum Science and Engineering 200, 108182, 2021 | 451 | 2021 |
| Support vector machine: principles, parameters, and applications R Gholami, N Fakhari Handbook of neural computation, 515-535, 2017 | 350 | 2017 |
| Significant aspects of carbon capture and storage–A review A Raza, R Gholami, R Rezaee, V Rasouli, M Rabiei Petroleum 5 (4), 335-340, 2019 | 321 | 2019 |
| A review on borehole instability in active shale formations: Interactions, mechanisms and inhibitors R Gholami, H Elochukwu, N Fakhari, M Sarmadivaleh Earth-Science Reviews 177, 2-13, 2018 | 256 | 2018 |
| Leakage risk assessment of a CO2 storage site: A review R Gholami, A Raza, S Iglauer Earth-Science Reviews 223, 103849, 2021 | 212 | 2021 |
| Practical application of failure criteria in determining safe mud weight windows in drilling operations R Gholami, A Moradzadeh, V Rasouli, J Hanachi Journal of Rock Mechanics and Geotechnical Engineering 6 (1), 13-25, 2014 | 194 | 2014 |
| Mechanical and elastic properties of transversely isotropic slate R Gholami, V Rasouli Rock Mechanics and Rock Engineering 47, 1763-1773, 2014 | 190 | 2014 |
| Carbon mineralization and geological storage of CO2 in basalt: Mechanisms and technical challenges A Raza, G Glatz, R Gholami, M Mahmoud, S Alafnan Earth-Science Reviews 229, 104036, 2022 | 188 | 2022 |
| A screening criterion for selection of suitable CO2 storage sites A Raza, R Rezaee, R Gholami, CH Bing, R Nagarajan, MA Hamid Journal of Natural Gas Science and Engineering 28, 317-327, 2016 | 156 | 2016 |
| Evaluation of flyrock phenomenon due to blasting operation by support vector machine H Amini, R Gholami, M Monjezi, SR Torabi, J Zadhesh Neural Computing and Applications 21, 2077-2085, 2012 | 134 | 2012 |
| Prediction of shear wave velocity using empirical correlations and artificial intelligence methods S Maleki, A Moradzadeh, RG Riabi, R Gholami, F Sadeghzadeh NRIAG Journal of Astronomy and Geophysics 3 (1), 70-81, 2014 | 133 | 2014 |
| A review on cement degradation under CO2-rich environment of sequestration projects K Abid, R Gholami, P Choate, BH Nagaratnam Journal of Natural Gas Science and Engineering 27, 1149-1157, 2015 | 122 | 2015 |
| Comparison of different failure criteria in prediction of safe mud weigh window in drilling practice S Maleki, R Gholami, V Rasouli, A Moradzadeh, RG Riabi, ... Earth-Science Reviews 136, 36-58, 2014 | 122 | 2014 |
| Prediction of hydrocarbon reservoirs permeability using support vector machine R Gholami, AR Shahraki, M Jamali Paghaleh Mathematical Problems in Engineering 2012 (1), 670723, 2012 | 106 | 2012 |
| Comparison of intelligence science techniques and empirical methods for prediction of blasting vibrations M Mohamadnejad, R Gholami, M Ataei Tunnelling and Underground Space Technology 28, 238-244, 2012 | 105 | 2012 |
| A Review on the Influence of CO2/Shale Interaction on Shale Properties: Implications of CCS in Shales A Fatah, Z Bennour, H Ben Mahmud, R Gholami, MM Hossain Energies 13 (12), 3200, 2020 | 88 | 2020 |
| Brittleness of gas shale reservoirs: A case study from the north Perth basin, Australia R Gholami, V Rasouli, M Sarmadivaleh, V Minaeian, N Fakhari Journal of Natural Gas Science and Engineering 33, 1244-1259, 2016 | 87 | 2016 |
| Applications of artificial intelligence methods in prediction of permeability in hydrocarbon reservoirs R Gholami, A Moradzadeh, S Maleki, S Amiri, J Hanachi Journal of Petroleum Science and Engineering 122, 643-656, 2014 | 87 | 2014 |
| An approach to improve the cuttings carrying capacity of nanosilica based muds H Elochukwu, R Gholami, SS Dol Journal of Petroleum Science and Engineering 152, 309-316, 2017 | 86 | 2017 |
| Effect of supercritical CO2 treatment on physical properties and functional groups of shales A Fatah, HB Mahmud, Z Bennour, M Hossain, R Gholami Fuel 303, 121310, 2021 | 85 | 2021 |
Arshad RazaCPG-KFUPM, Saudi ArabiaOverená e-mailová adresa na: kfupm.edu.sa