| Deep neural networks predicting oil movement in a development unit P Temirchev, M Simonov, R Kostoev, E Burnaev, I Oseledets, A Akhmetov, ... Journal of Petroleum Science and Engineering 184, 106513, 2020 | 58 | 2020 |
| End-to-end neural network approach to 3D reservoir simulation and adaptation E Illarionov, P Temirchev, D Voloskov, R Kostoev, M Simonov, ... Journal of Petroleum Science and Engineering 208, 109332, 2022 | 19 | 2022 |
| Reduced order reservoir simulation with neural-network based hybrid model P Temirchev, A Gubanova, R Kostoev, A Gryzlov, D Voloskov, D Koroteev, ... SPE Russian Petroleum Technology Conference?, D033S018R004, 2019 | 14 | 2019 |
| Application of machine learning technologies for rapid 3d modelling of inflow to the well in the development system M Simonov, A Akhmetov, P Temirchev, D Koroteev, R Kostoev, E Burnaev, ... SPE Russian Petroleum Technology Conference?, D013S002R005, 2018 | 11 | 2018 |
| Maxentropy pursuit variational inference E Egorov, K Neklydov, R Kostoev, E Burnaev Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 2 | 2019 |
| An Intellectual System for Fast and Reliable Automated Core Description Development E Baraboshkin, AE Demidov, DM Orlov, VV Alekseev, AY Tkachev, ... 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | | 2021 |
