Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Oksana Taalaevna Osmonalieva"'
Autor:
Artyom Sergeevich Semenikhin, Arseniy Andreevich Shchepetnov, Alexander Alexanderovich Reshytko, Arthur Rustamovich Sabirov, Oksana Taalaevna Osmonalieva, Dmitry Vitalyevich Egorov, Boris Vladimirovich Belozerov
Publikováno v:
Day 2 Tue, October 27, 2020.
In this work we pursued the goal of an automate cognitive system development capable for searching missed net pay zones within wells to extend a brownfield lifecycle via the involvement of new reserves into the field development. Additional research
Autor:
Arthur Rustamovich Sabirov, Alexander Alexanderovich Reshytko, Oksana Taalaevna Osmonalieva, Artyom Semenikhin, Arseniy Andreevich Shchepetnov, B.V. Belozerov, Dmitry Vitalyevich Egorov
Publikováno v:
SPE Russian Petroleum Technology Conference.
Autor:
Artyom Semenikhin, Alexander Alexandrovich Reshytko, Oksana Taalaevna Osmonalieva, B.V. Belozerov, D. Egorov, Arseniy Andreevich Shchepetnov, Arthur Rustamovich Sabirov, Anton Nikolaevich Klenitskiy
Publikováno v:
International Petroleum Technology Conference.
Autor:
I. Chebuniaev, Igor Simon, Oksana Taalaevna Osmonalieva, V. Vasilyev, V. Makarov, Artyom Semenikhin, T. Baybolov, Maria Golitsyna, Vitaly Koryabkin
Publikováno v:
First EAGE Digitalization Conference and Exhibition.
Summary A lot of anomalies can occur and lead to failures during drilling process. It is crucial to detect these deviations from normal process as soon as possible, so engineers can analyse and decide what activities to take in order to prevent poten
Autor:
Dmitry Vitalievich Egorov, Arthur Rustamovich Sabirov, Oksana Taalaevna Osmonalieva, Boris Vladimirovich Belozerov, Alexander Alexandrovich Reshytko, Anton Nikolaevich Klenitskiy, Arseniy Andreevich Shchepetnov, Artyom Sergeevich Semenikhin
Publikováno v:
Day 1 Tue, October 22, 2019.
The main aim of this work is to develop new approaches for processes of searching previously missed potential net pay intervals within wells from well log data of brownfields with machine learning algorithms. The practical interest for such a solutio
Autor:
K. Struminskiy, D. Egorov, Arseniy Andreevich Shchepetnov, D. Vetrov, Alexander Alexandrovich Reshytko, Arthur Rustamovich Sabirov, Anton Nikolaevich Klenitskiy, Artyom Semenikhin, B.V. Belozerov, Oksana Taalaevna Osmonalieva
Publikováno v:
Petroleum Geostatistics 2019.
Autor:
Oksana Taalaevna Osmonalieva, Arthur Rustamovich Sabirov, B.V. Belozerov, Arseniy Andreevich Shchepetnov, Artyom Semenikhin, Alexander Alexandrovich Reshytko, D. Egorov, Anton Nikolaevich Klenitskiy
Publikováno v:
SPE Russian Petroleum Technology Conference.
Autor:
D. Egorov, Oksana Taalaevna Osmonalieva, Artyom Semenikhin, N. Bukhanov, B.V. Belozerov, M. Golytsina, Arseniy Gruzdev, A. Reshitko
Publikováno v:
Proceedings.
Extra net thickness may bring a huge impact on projects NPV, especially in case of brownfields with vast production wells stock and maintained surface infrastructure. Reservoir beds with sand may be misinterpreted by petrophysicist within a well and
Publikováno v:
Proceedings.
Summary The purpose of this work is to create a learning algorithm that, based on historical data about previously drilled wells, will classify drilling problem. Such decision support system will help the engineer to intervene in the drilling process
Autor:
Oksana Taalaevna Osmonalieva, Evgeny Shindin, Alexander Alexandrovich Reshytko, B.V. Belozerov, D. Egorov, Adel Zakirov, Artyom Semenikhin, Maria Golitsyna, N. Bukhanov, Vladimir Lipets
Publikováno v:
SPE Russian Petroleum Technology Conference.