Dmitry A. Koroteev

According to our database, Dmitry A. Koroteev authored at least 17 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Core box image recognition and its improvement with a new augmentation technique.

Evgeny E. Baraboshkin, Andrey E. Demidov, Denis M. Orlov, Dmitry A. Koroteev

Comput. Geosci., 2022

Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents.

Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev

CoRR, 2022

On a workflow for efficient computation of the permeability of tight sandstones.

Vladislav Pimanov, Vladislav Lukoshkin, Pavel Toktaliev, Oleg Iliev, Ekaterina A. Muravleva, Denis M. Orlov, Vladislav Krutko, Alexander Avdonin, Konrad Steiner, Dmitry A. Koroteev

CoRR, 2022

Forecasting the abnormal events at well drilling with machine learning.

Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev

Appl. Intell., 2022

2021

Deep learning in denoising of micro-computed tomography images of rock samples.

Mikhail Sidorenko, Denis M. Orlov, Mohammad Ebadi, Dmitry A. Koroteev

Comput. Geosci., 2021

End-to-end neural network approach to 3D reservoir simulation and adaptation.

E. Illarionov, Pavel Temirchev, Dmitry Voloskov, Ruslan Kostoev, Maxim Simonov, Dimitri Pissarenko, Denis M. Orlov, Dmitri A. Koroteev

CoRR, 2021

2020

Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling.

Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev

IEEE Geosci. Remote. Sens. Lett., 2020

Deep convolutions for in-depth automated rock typing.

Evgeny E. Baraboshkin, Leyla S. Ismailova, Denis M. Orlov, Elena A. Zhukovskaya, Georgy A. Kalmykov, Oleg V. Khotylev, Evgeny Yu. Baraboshkin, Dmitry A. Koroteev

Comput. Geosci., 2020

Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation.

Ivan Makhotin, Denis M. Orlov, Dmitry A. Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko

CoRR, 2020

2019

Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks.

Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev

Comput. Geosci., 2019

Failures detection at directional drilling using real-time analogues search.

Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev

CoRR, 2019

Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms.

Andrei Erofeev, Denis M. Orlov, Alexey Ryzhov, Dmitry A. Koroteev

CoRR, 2019

Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing.

Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev

CoRR, 2019

Reconstruction of 3D Porous Media From 2D Slices.

Denis Volkhonskiy, Ekaterina A. Muravleva, Oleg Sudakov, Denis M. Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry A. Koroteev

CoRR, 2019

Deep Neural Networks Predicting Oil Movement in a Development Unit.

Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev

CoRR, 2019

Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study.

Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

Data-driven model for the identification of the rock type at a drilling bit.

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

CoRR, 2018