| Geology driven history matching I Matveev, G Shishaev, G Eremyan, V Demyanov, O Popova, ... SPE Russian Petroleum Technology Conference, 2019 | 15 | 2019 |
| Machine Learning Clustering of Reservoir Heterogeneity with Petrophysical and Production Data D Konoshonkin, G Shishaev, I Matveev, A Volkova, V Rukavishnikov, ... SPE Europec, 2020 | 13 | 2020 |
| How does the definition of the objective function influence the outcome of history matching? G Eremyan, I Matveev, G Shishaev, V Rukavishnikov, V Demyanov ECMOR XVII 2020 (1), 1-14, 2020 | 13 | 2020 |
| Geology realism control in automated history matching I Matveev, G Shishaev, G Eremyan, D Konoshonkin, V Demyanov, ... ECMOR XVII 2020 (1), 1-9, 2020 | 11 | 2020 |
| History Matching and Uncertainty Quantification of Reservoir Performance with Generative Deep Learning and Graph Convolutions G Shishaev, V Demyanov, D Arnold, R Vygon ECMOR 2022, DOI: 10.3997/2214-4609.202244105, 2022 | 5 | 2022 |
| An optimization method for the assisted history matching (AHM) process using the gradient boosting approach M Melnikov, G Shishaev, I Matveev, G Eremyan, V Demyanov, ... EAGE/AAPG Digital Subsurface for Asia Pacific Conference 2020 (1), 1-3, 2020 | 3 | 2020 |
| Geologically plausible computer-aided history matching on the example of one the oil fields (Russian) GY Shishaev, IV Matveev, GA Eremyan, VV Demyanov, SV Kaygorodov Neftyanoe khozyaystvo-Oil Industry 2020 (06), 58-61, 2020 | 1 | 2020 |
| Operational Selection of Wells for Hydraulic Fracturing Treatment Through Machine Learning A Akhmetov, G Shishaev Saint Petersburg 2018 2018 (1), 1-5, 2018 | 1 | 2018 |
| Application of Graph Variational Autoencoders for History Matching Problem of Brugge Field G Shishaev, V Demyanov, D Arnold, R Vygon Fifth EAGE Conference on Petroleum Geostatistics 2023 (1), 1-5, 2023 | | 2023 |
| Topological analysis of production data for extracting valuable information A Vetkina, G Shishaev Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-5, 2023 | | 2023 |
| Three-phase flow reservoir simulation approximation and acceleration using U-shaped Fourier neural operator (U-FNO) G Shishaev, V Bulatov, M Salnikov, A Vetkina Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-5, 2023 | | 2023 |
| Exploration cost optimization through value of information and digitalization of geological features. I Paveleva, O Melnikova, E Fofanova, N Konoshonkina, N Klimenko, ... 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | | 2021 |
| Seismic Inversion Through the Application of Machine Learning Algorithms A Smorodin, G Shishaev, A Volkova, D Egorov Saint Petersburg 2020 2020 (1), 1-5, 2020 | | 2020 |
| Optimization of Multifractured Horizontal Well Performance Applying Machine Learning Techniques: Western Siberia Field Case Study D Grigorev, B Belozerov, D Egorov, G Shishaev, E Fofanova Saint Petersburg 2020 2020 (1), 1-5, 2020 | | 2020 |
| Геологически обоснованная автоматическая адаптациягидродинамических моделей I Matveev, G Shishaev, G Eremyan, V Demyanov, O Popova, ... SPE Russian Petroleum Technology Conference 2019, SPE-196881-MS, 2020 | | 2020 |
| Recall Factor in Reservoir Analogues Identification Problem G Shishaev, S Slivkin Saint Petersburg 2018 2018 (1), 1-5, 2018 | | 2018 |
