| A predictive model for steady-state multiphase pipe flow: Machine learning on lab data EA Kanin, AA Osiptsov, AL Vainshtein, EV Burnaev Journal of Petroleum Science and Engineering 180, 727-746, 2019 | 96 | 2019 |
| Data-driven model for hydraulic fracturing design optimization: Focus on building digital database and production forecast AD Morozov, DO Popkov, VM Duplyakov, RF Mutalova, AA Osiptsov, ... Journal of Petroleum Science and Engineering 194, 107504, 2020 | 58 | 2020 |
| Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem VM Duplyakov, AD Morozov, DO Popkov, EV Shel, AL Vainshtein, ... Journal of Petroleum Science and Engineering 208, 109303, 2022 | 16 | 2022 |
| Practical aspects of hydraulic fracturing design optimization using machine learning on field data: digital database, algorithms and planning the field tests V Duplyakov, A Morozov, D Popkov, A Vainshtein, A Osiptsov, E Burnaev, ... SPE-SPE Symposium: Hydraulic Fracturing, D011S001R003, 2020 | 15 | 2020 |
| The method of calculation the pressure gradient in multiphase flow in the pipe segment based on the machine learning algorithms E Kanin, A Vainshtein, A Osiptsov, E Burnaev IOP Conference Series: Earth and Environmental Science 193 (1), 012028, 2018 | 15 | 2018 |
| Towards field testing of the flowback technology for multistage-fractured horizontal wells: modeling-based design and practical implications A Osiptsov, A Vainshtein, S Boronin, I Faizullin, G Paderin, A Shurunov, ... SPE Russian Petroleum Technology Conference?, D023S015R005, 2019 | 12 | 2019 |
| Machine learning on field data for hydraulic fracturing design optimization R Mutalova, A Morozov, A Osiptsov, A Vainshtein, E Burnaev, E Shel, ... EarthArXiv, 2019 | 9 | 2019 |
| Machine Learning on Field Data for Hydraulic Fracturing Design Optimization: Digital Database and Production Forecast Model A Morozov, D Popkov, V Duplyakov, R Mutalova, A Osiptsov, A Vainshtein, ... First EAGE Digitalization Conference and Exhibition 2020 (1), 1-5, 2020 | 7 | 2020 |
| ANNs Trained on Synthetic and Lab Data for Modeling Steady-State Multiphase Pipe Flow E Baryshnikov, E Kanin, A Vainshtein, A Osiptsov, E Burnaev First EAGE Digitalization Conference and Exhibition 2020 (1), 1-5, 2020 | 5 | 2020 |
| Field testing of the flowback technology for multistage-fractured horizontal wells: generalization to find an optimum balance between aggressive and smooth scenarios A Vainshtein, G Fisher, G Strizhnev, S Boronin, A Osiptsov, ... SPE Russian Petroleum Technology Conference?, D021S011R003, 2021 | 4 | 2021 |
| Field testing of the flowback technology for multistage-fractured horizontal wells: test results and primary interpretation of the results A Vainshtein, G Fisher, S Boronin, A Osiptsov, I Faysullin, G Paderin, ... SPE Russian Petroleum Technology Conference?, D043S023R001, 2020 | 4 | 2020 |
| Integrated modeling of fracturing-flowback-production dynamics and calibration on field data: Optimum well startup scenarios SA Boronin, KI Tolmacheva, IA Garagash, IR Abdrakhmanov, GY Fisher, ... Petroleum Science 20 (4), 2202-2231, 2023 | 3 | 2023 |
| Data-driven model for fracturing design optimization: focus on building digital database and production forecast AD Morozov, DO Popkov, VM Duplyakov, RF Mutalova, AA Osiptsov, ... | 2 | 2019 |
| Adaptation of Steady-State Well Flow Model on Field Data for Calculating the Flowing Bottomhole Pressure ES Baryshnikov, EA Kanin, AA Osiptsov, AL Vainshtein, EV Burnaev, ... SPE Russian Petroleum Technology Conference?, D023S007R008, 2020 | 1 | 2020 |
| Integrated Approach to Optimize Flowback in Multi-stage Hydraulically Fractured Wells G Strizhnev, S Boronin, A Vainshtein, A Osiptsov International Field Exploration and Development Conference, 1622-1632, 2023 | | 2023 |
| Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements EA Kanin, AA Garipova, SA Boronin, VV Vanovsky, AL Vainshtein, ... arXiv preprint arXiv:2301.02585, 2022 | | 2022 |
| Petroleum Science SA Boronin, KI Tolmacheva, IA Garagash, IR Abdrakhmanov, GY Fisher, ... | | 2022 |
| Способ выбора оптимального дизайна гидроразрыва пласта на основе интеллектуального анализа полевых данных для увеличения добычи углеводородного сырья RU Patent RU277503413C1, 2022 | | 2022 |
| Способ выбора оптимального дизайна гидроразрыва пласта на основе интеллектуального анализа полевых данных для увеличения добычи углеводородного сырья RU Patent 2,775,034, 2022 | | 2022 |
| Flowback dynamics justification for the well after hydraulic fracturing to maintain long-term fracture conductivity A Vainshtein PROneft. Professionally about Oil., 30-40, 2022 | | 2022 |
Andrei A. OsiptsovDirector of Project Center for Energy Transition / Full Professor @ SkoltechVerified email at skoltech.ru
