| Hybrid machine learning approaches for classification and detection of fractures in carbonate reservoir MR Delavar Journal of Petroleum Science and Engineering 208 (Part A,109327), 2021 | 27 | 2021 |
| Pore Pressure Prediction by Empirical and Machine Learning Methods Using Conventional and Drilling Logs in Carbonate Rocks MR Delavar, A Ramezanzadeh Rock Mechanics and Rock Engineering 56 (1), 535-564, 2023 | 9 | 2023 |
| Optimization of drilling parameters using combined multi-objective method and presenting a practical factor MR Delavar, A Ramezanzadeh, R Gholami, M Sanei Computers & Geosciences 175, 105359, 2023 | 8 | 2023 |
| An investigation into the effect of geomechanical properties of reservoir rock on drilling parameters—a case study MR Delavar, A Ramezanzadeh, B Tokhmechi Arabian Journal of Geosciences 14 (17), 2021 | 6 | 2021 |
| Applied machine learning-based models for predicting the geomechanical parameters using logging data M Sanei, A Ramezanzadeh, MR Delavar Journal of Petroleum Exploration and Production Technology 13 (12), 2363-2385, 2023 | 3 | 2023 |
| Machine learning classification approaches to optimize ROP and TOB using drilling and geomechanical parameters in a carbonate reservoir MR Delavar, A Ramezanzadeh Journal of Petroleum Exploration and Production Technology, 1-26, 2024 | | 2024 |
Ahmad RamezanzadehProfessor, Shahrood University of Technology在 shahroodut.ac.ir 的电子邮件经过验证
