Automatic well log analysis across priobskoe field using machine learning methods B Belozerov, N Bukhanov, D Egorov, A Zakirov, O Osmonalieva, ... SPE Russian Petroleum Technology Conference?, D013S002R011, 2018 | 27 | 2018 |
Automatic Interpretation of Facies from Wireline Logs by Using Hierarchical Machine Learning Approach DV Egorov, NV Bukhanov, BV Belozerov, VS Rukavishnikov Saint Petersburg 2018 2018 (1), 1-5, 2018 | 8 | 2018 |
Prediction of wells productive characteristics with the use of unsupervised machine learning algorithms D Balashov, D Egorov, B Belozerov, S Slivkin SPE Russian Petroleum Technology Conference?, D013S005R001, 2019 | 6 | 2019 |
Applying machine learning methods to search for missing net pay zones in mature oilfields wells DV Egorov, AR Sabirov, OT Osmonalieva, BV Belozerov, AA Reshytko, ... SPE Russian Petroleum Technology Conference?, D013S005R005, 2019 | 5 | 2019 |
SmartHSE: Comprehensive AI-based Safety Monitoring Solution for Work-Sites Y Tamaazousti, D Egorov, A Benzine, U Asif, M Amri, A Benaichouche Abu Dhabi International Petroleum Exhibition and Conference, D011S024R003, 2022 | 4 | 2022 |
Automatic fault interpretation from seismic data via convolutional neural networks D Egorov EAGE Subsurface Intelligence, 2019 | 4 | 2019 |
Well log data standardization, imputation and anomaly detection using hidden Markov models K Struminskiy, A Klenitskiy, A Reshytko, D Egorov, A Shchepetnov, ... Petroleum Geostatistics 2019 2019 (1), 1-5, 2019 | 4 | 2019 |
Àíàëèç ïðèìåíèìîñòè àëãîðèòìîâ ìàøèííîãî îáó÷åíèÿ äëÿ çàäà÷ èíòåðïîëÿöèè è ïðîãíîçà ãåîëîãè÷åñêèõ ñâîéñòâ â ìåæñêâàæèííîì ïðîñòðàíñòâå Ä Åãîðîâ, Á Áåëîçåðîâ PROÍÅÔÒÜ. Ïðîôåññèîíàëüíî î íåôòè, 13-16, 2022 | 3 | 2022 |
Well Log data augmentation influence at accuracy of machine learning interpretation A Semenikhin, A Shchepetnov, A Karavaev, D Egorov, O Osmonalieva EAGE/AAPG Digital Subsurface for Asia Pacific Conference 2020 (1), 1-3, 2020 | 3 | 2020 |
Extraction of Petrophysical Information and Formation Heterogeneity Estimation from Core Photographs by Clustering Algorithms D Egorov Petroleum Geostatistics 2019 2019 (1), 1-5, 2019 | 3 | 2019 |
Robustness Of Extra Net Thickness Identification Within Vertical And Spatial Scale Using Statistical Learning Methods A Reshitko, M Golytsma, A Gruzdev, A Semenikhin, D Egorov, ... ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018 | 2 | 2018 |
Incorporation of experts’ experience into machine learning models using well logs analysis for Priobskoye and Muravlenkovskoye brownfields (Russian) DV Egorov, NV Bukhanov, OT Osmonalieva, BV Belozerov, AA Reshytko, ... Neftyanoe khozyaystvo-Oil Industry, 28-31, 2017 | 2 | 2017 |
Ask Earth: Large Language Models with Retrieval Augmented Generation as Geological Knowledge Extractors from Unstructured Databases D Egorov Fourth EAGE Digitalization Conference & Exhibition 2024 (1), 1-5, 2024 | | 2024 |
SmartVessel-v2: A Faster, Better, Stronger, Safety Monitoring Solution for Marine Vessels D Egorov, S Sharan, M Tahiri, Y Tamaazousti, M Amri Abu Dhabi International Petroleum Exhibition and Conference, D021S041R003, 2023 | | 2023 |
Improvement of Well Logs Autointerpretation Robustness via Application of Spatial Geological Information D Egorov, G Nugmanov, A Semenikhin, A Karavaev, A Shchepetnov, ... First EAGE Digitalization Conference and Exhibition 2020 (1), 1-5, 2020 | | 2020 |
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 |
Method for increasing the resolution of seismic data based on convolutional neural networks TV Makeeva, ND Sergeeva, DV Egorov, TI Pashinskaya, ... Data Science in Oil & Gas 2020 (1), 1-6, 2020 | | 2020 |
ÎÏÛÒ ÏÐÈÌÅÍÅÍÈß ÑÂÅÐÒÎ×ÍÛÕ ÍÅÉÐÎÍÍÛÕ ÑÅÒÅÉ Â ÇÀÄÀ×ÅÂÛÄÅËÅÍÈß ÐÀÇÐÛÂÍÛÕ ÍÀÐÓØÅÍÈÉ ÏÎ ÑÅÉÑÌÈ×ÅÑÊÈÌ ÄÀÍÍÛÌ ÍÀ ÏÐÈÌÅÐÅ ØÅËÜÔÎÂÎÃÎ ÌÅÑÒÎÐÎÆÄÅÍÈß ÎÕÎÒÑÊÎÃÎ ÌÎÐß Ä Åãîðîâ, ÈÈ Êóáûøòà Ãåîôèçèêà, 38-44, 2020 | | 2020 |
ÀÂÒÎÌÀÒÈ×ÅÑÊÎÅ ÂÛÄÅËÅÍÈÅ ÐÀÇËÎÌΠÏÎ ÑÅÉÑÌÈ×ÅÑÊÈÌ ÄÀÍÍÛÌ Ñ ÏÎÌÎÙÜÞ ÑÂÅÐÒÎ×ÍÛÕ ÍÅÉÐÎÍÍÛÕ ÑÅÒÅÉ Ä Åãîðîâ Ãåîôèçèêà, 27-31, 2020 | | 2020 |