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 | 34 | 2018 |
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 | 9 | 2019 |
Automatic fault interpretation from seismic data via convolutional neural networks D Egorov EAGE Subsurface Intelligence, 2019 | 8 | 2019 |
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 |
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 | 7 | 2019 |
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 | 7 | 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 | 6 | 2022 |
Extraction of Petrophysical Information and Formation Heterogeneity Estimation from Core Photographs by Clustering Algorithms D Egorov Petroleum Geostatistics 2019 2019 (1), 1-5, 2019 | 5 | 2019 |
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 | 4 | 2020 |
Анализ применимости алгоритмов машинного обучения для задач интерполяции и прогноза геологических свойств в межскважинном пространстве ДВ Егоров, БВ Белозеров PROНЕФТЬ. Профессионально о нефти, 13-16, 2022 | 3 | 2022 |
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 |
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 | 1 | 2020 |
Enhanced Vuggy Zone Recognition Through Merging AI-based Borehole Image Interpretation A Petrov, D Egorov, N Belayouni, Y Tamaazousti Abu Dhabi International Petroleum Exhibition and Conference, D021S044R004, 2024 | | 2024 |
Enhancing Geological Studies Efficiency Through AI-Driven Analysis: A Case Study in Lower Cretaceous Time R Vaz, B Al Muhairi, MA AlTamimi, D Egorov, F Yang, X Li, R AlZaabi Abu Dhabi International Petroleum Exhibition and Conference, D021S044R007, 2024 | | 2024 |
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 |
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 |