Dmitry A. Koroteev

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 19

Top Topics

Gradient Boosting

Petroleum Industry

Machine Learning

Abnormal Events

Top Venues

Comput. Geosci.

IEEE Geosci. Remote. Sens. Lett.

Publications

Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev
Forecasting the abnormal events at well drilling with machine learning. CoRR (2022)
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev
Forecasting the abnormal events at well drilling with machine learning. Appl. Intell. 52 (9) (2022)
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 (2022)
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents. CoRR (2022)
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 (2022)
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 (2021)
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) (2020)
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 (2020)
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 (2020)
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 (2019)
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 (2019)
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 (2019)
Andrei Erofeev, Denis M. Orlov, Alexey Ryzhov, Dmitry A. Koroteev
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms. CoRR (2019)
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 (2019)
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 (2019)
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 (2019)
Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. CoRR (2019)
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 (2018)
Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks. CoRR (2018)