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ORCIDDmitry A. Koroteev
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2020 – today
- 2022
[j6]Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev:
Forecasting the abnormal events at well drilling with machine learning. Appl. Intell. 52(9): 9980-9995 (2022)- [j5]Evgeny E. Baraboshkin
, Andrey E. Demidov, Denis M. Orlov, Dmitry A. Koroteev:
Core box image recognition and its improvement with a new augmentation technique. Comput. Geosci. 162: 105099 (2022) - [i16]Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev:
Forecasting the abnormal events at well drilling with machine learning. CoRR abs/2203.05378 (2022) - [i15]Vladislav Pimanov, Vladislav Lukoshkin, Pavel Toktaliev, Oleg Iliev, Ekaterina A. Muravleva, Denis M. Orlov, Vladislav Krutko, Alexander Avdonin, Konrad Steiner, Dmitry A. Koroteev:
On a workflow for efficient computation of the permeability of tight sandstones. CoRR abs/2203.11782 (2022) - [i14]Evgeny E. Baraboshkin, Andrey E. Demidov, Denis M. Orlov, Dmitri A. Koroteev:
Core Box Image Recognition and its Improvement with a New Augmentation Technique. CoRR abs/2204.08853 (2022) - [i13]Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev:
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents. CoRR abs/2209.02256 (2022) - 2021
- [j4]Mikhail Sidorenko, Denis M. Orlov, Mohammad Ebadi, Dmitry A. Koroteev:
Deep learning in denoising of micro-computed tomography images of rock samples. Comput. Geosci. 151: 104716 (2021) - [i12]E. Illarionov, Pavel Temirchev, Dmitry Voloskov, Ruslan Kostoev, Maxim Simonov, Dimitri Pissarenko, Denis M. Orlov, Dmitri A. Koroteev:
End-to-end neural network approach to 3D reservoir simulation and adaptation. CoRR abs/2102.10304 (2021) - 2020
- [j3]Evgeny E. Baraboshkin, Leyla S. Ismailova, Denis M. Orlov, Elena A. Zhukovskaya, Georgy A. Kalmykov, Oleg V. Khotylev, Evgeny Yu. Baraboshkin, Dmitry A. Koroteev:
Deep convolutions for in-depth automated rock typing. Comput. Geosci. 135: 104330 (2020) - [j2]Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev:
Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. IEEE Geosci. Remote. Sens. Lett. 17(11): 1861-1865 (2020) - [i11]Ivan Makhotin, Denis M. Orlov, Dmitry A. Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko:
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation. CoRR abs/2010.03408 (2020)
2010 – 2019
- 2019
- [j1]Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev:
Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks. Comput. Geosci. 127: 91-98 (2019) - [c1]Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev:
Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. ISNN (2) 2019: 232-241 - [i10]Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev:
Deep Neural Networks Predicting Oil Movement in a Development Unit. CoRR abs/1901.02549 (2019) - [i9]Denis Volkhonskiy, Ekaterina A. Muravleva, Oleg Sudakov, Denis M. Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry A. Koroteev:
Reconstruction of 3D Porous Media From 2D Slices. CoRR abs/1901.10233 (2019) - [i8]Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev:
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. CoRR abs/1902.02223 (2019) - [i7]Andrei Erofeev, Denis M. Orlov, Alexey Ryzhov, Dmitry A. Koroteev:
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms. CoRR abs/1902.06525 (2019) - [i6]Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev:
Real-time data-driven detection of the rock type alteration during a directional drilling. CoRR abs/1903.11436 (2019) - [i5]Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev:
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study. CoRR abs/1905.07859 (2019) - [i4]Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev:
Failures detection at directional drilling using real-time analogues search. CoRR abs/1906.02667 (2019) - [i3]Evgeny E. Baraboshkin, Leyla S. Ismailova, Denis M. Orlov, Elena A. Zhukovskaya, Georgy A. Kalmykov, Oleg V. Khotylev, Evgeny Yu. Baraboshkin, Dmitry A. Koroteev:
Deep Convolutions for In-Depth Automated Rock Typing. CoRR abs/1909.10227 (2019) - 2018
- [i2]Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev:
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks. CoRR abs/1803.00758 (2018) - [i1]Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla S. Ismailova, Ekaterina A. Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry A. Koroteev:
Data-driven model for the identification of the rock type at a drilling bit. CoRR abs/1806.03218 (2018)
Coauthor Index
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