| Developing a new rigorous drilling rate prediction model using a machine learning technique M Mehrad, M Bajolvand, A Ramezanzadeh, JG Neycharan Journal of Petroleum Science and Engineering 192, 107338, 2020 | 72 | 2020 |
| Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms M Mehrad, A Ramezanzadeh, M Bajolvand, MR Hajsaeedi Journal of Petroleum Science and Engineering 212, 2022 | 37 | 2022 |
| A novel approach to pore pressure modeling based on conventional well logs using convolutional neural network M Matinkia, A Amraeiniya, MM Behboud, M Mehrad, M Bajolvand, ... Journal of Petroleum Science and Engineering 211, 110156, 2022 | 33 | 2022 |
| Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning S Davoodi, M Mehrad, DA Wood, VS Rukavishnikov, M Bajolvand International Journal of Rock Mechanics and Mining Sciences 170, 105546, 2023 | 24 | 2023 |
| Developing a new model for drilling rate of penetration prediction using convolutional neural network M Matinkia, A Sheykhinasab, S Shojaei, A Vojdani Tazeh Kand, A Elmi, ... Arabian Journal for Science and Engineering 47 (9), 11953-11985, 2022 | 22 | 2022 |
| Optimization of controllable drilling parameters using a novel geomechanics-based workflow M Bajolvand, A Ramezanzadeh, M Mehrad, A Roohi Journal of Petroleum Science and Engineering 218, 2022 | 16 | 2022 |
| Investigate the effect of rock mass joint intensity on performance of support systems in the tunnel by using DFN-DEM numerical modeling (Case study: the access tunnel of Rudbar … M Noroozi, R Rafiee, M Bajolvand, A Hojjati Journal of Analytical and Numerical Methods in Mining Engineering (ANM) 8 …, 2018 | 2 | 2018 |
| Investigation of the effect of geostructures on the occurrence of drilling problems in order to using its practical solutions in similar projects, case study M Bajolvand, H Saadati Construction science and technology 4 (3), 59-68, 2023 | | 2023 |
| Estimating the torque on bit in oil and gas wells drillig operation using an artificial neural network M Bajolvand, A Ramezanzadeh, M Mehrad, A Roohi 1st international conference on artificial intelligent, data mining and …, 2023 | | 2023 |
| Modeling the Effect of the Striker Geometry on the Wave Propagation Pattern in the Split-Hopkinson Pressure Bar Test Using the Discrete Element Method M Nikkhah, M Bajolvand International Journal of Mining and Geo-Engineering, 2022 | | 2022 |
| A Review of the application of numerical methods in Thermo-Hydro-Mechanical (THM) modeling of improved and enhanced recovery of hydrocarbon reservoirs M Bajolvand, S Zare 3rd National Conference on Petroleum Geomechanics, 2019 | | 2019 |
| Investigation of the seismic events occurrence due to hydrocarbon fields production M Bajolvand, M Nikkhah 3rd National Conference on Petroleum Geomechanics, 2019 | | 2019 |
| Numerical Modeling of the Effect of Time-dependent Behaviors of Salt Formations on the Casing Collapse of Oil Wells M Bajolvand, A Ramezanzadeh 12th Iranian and 3rd regional Tunneling Conference, 2018 | | 2018 |
| Numerical modeling of long-term base performance in room-pillar salt rock mining under the influence of salt creep behavior M Bajolvand, A Ramezanzadeh 12th Iranian and 3rd regional Tunneling Conference, 2018 | | 2018 |
| Numerical Modeling of the Effect of Time-dependent Behaviors of Salt Formations on the Casing Collapse of oil Wells M Bajolvand, A Ramezanzadeh 9th Conference on the Mechanical Behavior of Salt (SALT MECH IX) Hannover, 2018 | | 2018 |
| Impact of Salt Formation’s Geomechanical properties on the casing collapse event in oil wells using Numerical modeling M Bajolvand, A Ramezanzadeh Journal of Petroleum Geomechanics 2 (2), 55-68, 2018 | | 2018 |
| Numerical Modeling of the Effect of Time-dependent Behaviors of Ductile Formations on the Casing Collapse of Oil Wells M Bajolvand My Master's Thesis Topic in Shahrood University of Technology, 2018 | | 2018 |
Mohammad MehradShahrood University of TechnologyE-mail megerősítve itt: shahroodut.ac.ir
