| Investigating the effect of high pressures and temperatures on corrosion inhibition for water-based drilling fluids M Amani, AS Abd, A Al-Hardan, A Roustazadeh, R Yrac J Pet Environ Biotechnol 7 (297), 2, 2016 | 4 | 2016 |
| Estimating oil and gas recovery factor via machine learning A Roustazadeh | 2 | 2022 |
| An Experimental Analysis of the Factors Affecting Barite Segregation in Water Based Drilling Fluids M Amani, A Roustazadeh, MF Zia, S Al-Emadi, A Carvero, R Yrac | 2* | |
| Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability A Roustazadeh, B Ghanbarian, MB Shadmand, V Taslimitehrani, ... Engineering Applications of Artificial Intelligence 128, 107500, 2024 | 1 | 2024 |
| Estimating oil recovery factor using machine learning: applications of XGBoost classification A Roustazadeh, B Ghanbarian, F Male, MB Shadmand, V Taslimitehrani, ... arXiv preprint arXiv:2210.16345, 2022 | 1 | 2022 |
| Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability A Roustazadeh, B Ghanbarian, MB Shadmand, V Taslimitehrani, ... arXiv preprint arXiv:2210.12491, 2022 | 1 | 2022 |
| Application of machine learning for predicting gas reservoir recovery factor A Roustazadeh, B Ghanbarian, MB Shadmand, V Taslimitehrani, ... AGU Fall Meeting Abstracts 2020, MR023-0004, 2020 | | 2020 |
| Investigating the Effect of High Pressures and Temperatures on Corrosion Inhibition for Water-Based Muds ASM Abd, A Al-Hardan, A Roustazadeh, M Amani Qatar Foundation Annual Research Conference Proceedings 2016 (1), EESP1762, 2016 | | 2016 |
Mahmood AmaniTexas A&M University at QatarVerified email at tamu.edu
