| Gradient boosting to boost the efficiency of hydraulic fracturing I Makhotin, D Koroteev, E Burnaev Journal of Petroleum Exploration and Production Technology 9, 1919-1925, 2019 | 40 | 2019 |
| Machine learning for recovery factor estimation of an oil reservoir: A tool for derisking at a hydrocarbon asset evaluation I Makhotin, D Orlov, D Koroteev, E Burnaev, A Karapetyan, D Antonenko Petroleum 8 (2), 278-290, 2022 | 18 | 2022 |
| Machine learning to rate and predict the efficiency of waterflooding for oil production I Makhotin, D Orlov, D Koroteev Energies 15 (3), 1199, 2022 | 16 | 2022 |
| Strengthening the digital rock physics, using downsampling for sub-resolved pores in tight sandstones M Ebadi, D Orlov, I Makhotin, V Krutko, B Belozerov, D Koroteev Journal of Natural Gas Science and Engineering 89, 103869, 2021 | 16 | 2021 |
| Digital rock physics in low-permeable sandstone, downsampling for unresolved sub-micron porosity estimation M Ebadi, I Makhotin, D Orlov, D Koroteev SPE Europec featured at EAGE Conference and Exhibition?, D021S011R002, 2020 | 5 | 2020 |
| Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation I Makhotin, D Orlov, D Koroteev, E Burnaev, A Karapetyan, D Antonenko arXiv preprint arXiv:2010.03408, 2020 | | 2020 |
| Prediction of Petrophysical Properties Using Optimization Methods L Ismailova, Y Meshalkin, I Makhotin, D Orlov, D Koroteev AGU Fall Meeting Abstracts 2018, H23M-2139, 2018 | | 2018 |
