Andrei Osiptsov

According to our database, Andrei Osiptsov authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract).

Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Aleksandr Volkov, Ilya Makarov, Andrei Osiptsov, Yury Maximov

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents.

Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov, Andrei Osiptsov, Aleksandr Volkov, Yury Maximov

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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, Andrei Osiptsov, Evgeny Burnaev

CoRR, May, 2025

2023

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

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

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

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

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