| From disruptively digital to proudly analog: A holistic typology of digital transformation strategies Z Tekic, D Koroteev Business Horizons 62 (6), 683-693, 2019 | 313 | 2019 |
| Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks O Sudakov, E Burnaev, D Koroteev Computers & geosciences 127, 91-98, 2019 | 203 | 2019 |
| Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future D Koroteev, Z Tekic Energy and AI 3, 100041, 2021 | 174 | 2021 |
| Modeling the velocity field during Haines jumps in porous media RT Armstrong, N Evseev, D Koroteev, S Berg Advances in Water Resources 77, 57-68, 2015 | 132 | 2015 |
| Deep convolutions for in-depth automated rock typing EE Baraboshkin, LS Ismailova, DM Orlov, EA Zhukovskaya, GA Kalmykov, ... Computers & Geosciences 135, 104330, 2020 | 117 | 2020 |
| Prediction of porosity and permeability alteration based on machine learning algorithms A Erofeev, D Orlov, A Ryzhov, D Koroteev Transport in Porous Media 128, 677-700, 2019 | 100 | 2019 |
| Direct hydrodynamic simulation of multiphase flow in porous rock D Koroteev, O Dinariev, N Evseev, D Klemin, A Nadeev, S Safonov, ... Petrophysics 55 (04), 294-303, 2014 | 98 | 2014 |
| Application of machine learning to accidents detection at directional drilling E Gurina, N Klyuchnikov, A Zaytsev, E Romanenkova, K Antipova, I Simon, ... Journal of Petroleum Science and Engineering, 106519, 2020 | 71 | 2020 |
| Data-driven model for the identification of the rock type at a drilling bit N Klyuchnikov, A Zaytsev, A Gruzdev, G Ovchinnikov, K Antipova, ... Journal of Petroleum science and Engineering 178, 506-516, 2019 | 71 | 2019 |
| Modeling of pore-scale two-phase phenomena using density functional hydrodynamics RT Armstrong, S Berg, O Dinariev, N Evseev, D Klemin, D Koroteev, ... Transport in Porous Media 112, 577-607, 2016 | 68 | 2016 |
| 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 | 63 | 2020 |
| Application of digital rock technology for chemical EOR screening D Koroteev, O Dinariev, N Evseev, D Klemin, S Safonov, O Gurpinar, ... SPE Asia Pacific Enhanced Oil Recovery Conference, SPE-165258-MS, 2013 | 50 | 2013 |
| Discontinuity breakdown on shock wave interaction with nanosecond discharge IA Znamenskaya, DA Koroteev, AE Lutsky Physics of Fluids 20 (5), 2008 | 47 | 2008 |
| Gradient boosting to boost the efficiency of hydraulic fracturing I Makhotin, D Koroteev, E Burnaev Journal of Petroleum Exploration and Production Technology, 2019 | 40 | 2019 |
| A nanosecond high-current discharge in a supersonic gas flow IA Znamenskaya, DA Koroteev, NA Popov High Temperature 43, 817-824, 2005 | 30* | 2005 |
| Deep learning in denoising of micro-computed tomography images of rock samples M Sidorenko, D Orlov, M Ebadi, D Koroteev Computers & Geosciences 151, 104716, 2021 | 29 | 2021 |
| Different methods of permeability calculation in digital twins of tight sandstones D Orlov, M Ebadi, E Muravleva, D Volkhonskiy, A Erofeev, E Savenkov, ... Journal of Natural Gas Science and Engineering 87, 103750, 2021 | 28 | 2021 |
| When shock is shocked: Riemann problem dynamics at pulse ionization of a shock wave I Doroshchenko, I Znamenskaya, D Koroteev, T Kuli-zade Physics of Fluids 29 (10), 2017 | 28 | 2017 |
| Real-time data-driven detection of the rock-type alteration during a directional drilling E Romanenkova, A Zaytsev, N Klyuchnikov, A Gruzdev, K Antipova, ... IEEE Geoscience and Remote Sensing Letters 17 (11), 1861-1865, 2019 | 27 | 2019 |
| Robotized petrophysics: Machine learning and thermal profiling for automated mapping of lithotypes in unconventionals Y Meshalkin, D Koroteev, E Popov, E Chekhonin, Y Popov Journal of Petroleum Science and Engineering 167, 944-948, 2018 | 27 | 2018 |
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