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Dmitry Egorov
Dmitry Egorov
AIQ (ADNOC and G42 JV)
Verified email at g42.ai
Title
Cited by
Cited by
Year
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
272018
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
82018
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
62019
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
52019
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
42022
Automatic fault interpretation from seismic data via convolutional neural networks
D Egorov
EAGE Subsurface Intelligence, 2019
42019
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
42019
Àíàëèç ïðèìåíèìîñòè àëãîðèòìîâ ìàøèííîãî îáó÷åíèÿ äëÿ çàäà÷ èíòåðïîëÿöèè è ïðîãíîçà ãåîëîãè÷åñêèõ ñâîéñòâ â ìåæñêâàæèííîì ïðîñòðàíñòâå
ÄÂ Åãîðîâ, ÁÂ Áåëîçåðîâ
PROÍÅÔÒÜ. Ïðîôåññèîíàëüíî î íåôòè, 13-16, 2022
32022
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
32020
Extraction of Petrophysical Information and Formation Heterogeneity Estimation from Core Photographs by Clustering Algorithms
D Egorov
Petroleum Geostatistics 2019 2019 (1), 1-5, 2019
32019
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
22018
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
22017
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
ÄÂ Åãîðîâ, ÈÈ Êóáûøòà
Ãåîôèçèêà, 38-44, 2020
2020
ÀÂÒÎÌÀÒÈ×ÅÑÊÎÅ ÂÛÄÅËÅÍÈÅ ÐÀÇËÎÌΠÏÎ ÑÅÉÑÌÈ×ÅÑÊÈÌ ÄÀÍÍÛÌ Ñ ÏÎÌÎÙÜÞ ÑÂÅÐÒÎ×ÍÛÕ ÍÅÉÐÎÍÍÛÕ ÑÅÒÅÉ
ÄÂ Åãîðîâ
Ãåîôèçèêà, 27-31, 2020
2020
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