Dmitry A. Koroteev

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Darcy-scale digital core models for rock properties upscaling and computational domain reduction.
J. Comput. Sci.
Denis M. Orlov, Batyrkhan Gainitdinov, Dmitry A. Koroteev
2022 J jnl
Core box image recognition and its improvement with a new augmentation technique.
Comput. Geosci.
Evgeny E. Baraboshkin, Andrey E. Demidov, Denis M. Orlov, Dmitry A. Koroteev
2022 J jnl
Forecasting the abnormal events at well drilling with machine learning.
Appl. Intell.
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev
2022 J jnl
Forecasting the abnormal events at well drilling with machine learning.
CoRR
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev
2022 J jnl
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents.
CoRR
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev
2022 J jnl
On a workflow for efficient computation of the permeability of tight sandstones.
CoRR
Vladislav Pimanov, Vladislav Lukoshkin, Pavel Toktaliev, Oleg Iliev, Ekaterina A. Muravleva, Denis M. Orlov, Vladislav Krutko, Alexander Avdonin, Konrad Steiner, Dmitry A. Koroteev
2021 J jnl
Deep learning in denoising of micro-computed tomography images of rock samples.
Comput. Geosci.
Mikhail Sidorenko, Denis M. Orlov, Mohammad Ebadi, Dmitry A. Koroteev
2020 J jnl
Deep convolutions for in-depth automated rock typing.
Comput. Geosci.
Evgeny E. Baraboshkin, Leyla S. Ismailova, Denis M. Orlov, Elena A. Zhukovskaya, Georgy A. Kalmykov, Oleg V. Khotylev, Evgeny Yu. Baraboshkin, Dmitry A. Koroteev
2020 J jnl
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation.
CoRR
Ivan Makhotin, Denis M. Orlov, Dmitry A. Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko
2020 J jnl
Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling.
IEEE Geosci. Remote. Sens. Lett.
Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
2019 J jnl
Deep Convolutions for In-Depth Automated Rock Typing.
CoRR
Evgeny E. Baraboshkin, Leyla S. Ismailova, Denis M. Orlov, Elena A. Zhukovskaya, Georgy A. Kalmykov, Oleg V. Khotylev, Evgeny Yu. Baraboshkin, Dmitry A. Koroteev
2019 J jnl
Deep Neural Networks Predicting Oil Movement in a Development Unit.
CoRR
Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev
2019 J jnl
Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks.
Comput. Geosci.
Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev
2019 J jnl
Failures detection at directional drilling using real-time analogues search.
CoRR
Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev
2019 J jnl
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing.
CoRR
Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev
2019 J jnl
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms.
CoRR
Andrei Erofeev, Denis M. Orlov, Alexey Ryzhov, Dmitry A. Koroteev
2019 J jnl
Real-time data-driven detection of the rock type alteration during a directional drilling.
CoRR
Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
2019 J jnl
Reconstruction of 3D Porous Media From 2D Slices.
CoRR
Denis Volkhonskiy, Ekaterina A. Muravleva, Oleg Sudakov, Denis M. Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry A. Koroteev
2018 J jnl
Data-driven model for the identification of the rock type at a drilling bit.
CoRR
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
2018 J jnl
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks.
CoRR
Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev