Data-driven model for the identification of the rock type at a drilling bit. - Nikita Klyuchnikov; Alexey Zaytsev 002; Arseniy Gruzdev; Georgiy Ovchinnikov; Ksenia Antipova; Leyla S. Ismailova; Ekaterina A. Muravleva; Evgeny Burnaev; Artyom Semenikhin; Alexey Cherepanov; Vitaliy Koryabkin; Igor Simon; et al. (CoRR, 2018)

Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. - Oleg Sudakov; Dmitri A. Koroteev; Boris Belozerov; Evgeny Burnaev (ISNN (2), 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)

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)

Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. - Ivan Makhotin; Dmitry A. Koroteev; Evgeny Burnaev (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)

Failures detection at directional drilling using real-time analogues search. - Ekaterina Gurina; Nikita Klyuchnikov; Alexey Zaytsev 002; Evgenya Romanenkova; Ksenia Antipova; Igor Simon; Victor Makarov; Dmitry A. Koroteev (CoRR, 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)

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)

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)

Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. - Evgenya Romanenkova; Alexey Zaytsev 002; 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)

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)

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)

Forecasting the abnormal events at well drilling with machine learning. - Ekaterina Gurina; Nikita Klyuchnikov; Ksenia Antipova; Dmitry A. Koroteev (Appl. Intell., 2022)

On a workflow for efficient computation of the permeability of tight sandstones. - Vladislav Pimanov; Vladislav Lukoshkin; Pavel Toktaliev; Oleg Iliev 001; Ekaterina A. Muravleva; Denis M. Orlov; Vladislav Krutko; Alexander Avdonin; Konrad Steiner; Dmitry A. Koroteev (CoRR, 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)

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)