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)

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)

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)

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