A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. - Evgenii Kanin; Andrei Osiptsov; Albert L. Vainshtein; Evgeny Burnaev (CoRR, 2019)

Machine learning on field data for hydraulic fracturing design optimization. - R. F. Mutalova; Anton D. Morozov; Andrei Osiptsov; Albert L. Vainshtein; Evgeny V. Burnaev; Egor V. Shel; Grigory V. Paderin (CoRR, 2019)

Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem. - Viktor Duplyakov; Anton D. Morozov; Dmitriy Popkov; Egor V. Shel; Albert L. Vainshtein; Evgeny Burnaev; Andrei Osiptsov; Grigory V. Paderin (CoRR, 2021)

Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells. - Ildar Abdrakhmanov; Evgenii Kanin; Sergei Boronin; Evgeny Burnaev; Andrei Osiptsov (CoRR, 2021)

Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements. - Evgenii Kanin; A. A. Garipova; Sergei Boronin; V. V. Vanovsky; Albert L. Vainshtein; A. A. Afanasyev; Andrei Osiptsov; Evgeny V. Burnaev (CoRR, 2023)

A Deep Learning-Aided Approach for Estimating Field Permeability Map by Fusing Well Logs, Well Tests, and Seismic Data. - Grigoriy Shutov; Viktor Duplyakov; Shadfar Davoodi; Anton D. Morozov; Dmitriy Popkov; Kirill Pavlenko; Albert L. Vainshtein; Viktor Kotezhekov; Sergey Kaygorodov; Boris Belozerov; Mars M. Khasanov; Vladimir Vanovskiy; et al. (CoRR, 2025)