Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alexander Bukharev"'
Autor:
Alla Andrianova, Darya Serebryakova, Maxim Simonov, Semen Budennyy, Alexander Bukharev, Yuriy Bogdanov, Nikita Volkov, Artem Tsanda, Andrey Margarit, D. S. Perets
Publikováno v:
Day 2 Tue, October 16, 2018.
The paper describes the principal possibility of using machine learning methods for verifying and restoring the quality of oilfield measurements. Basic methods for screening incorrect values have been given and approaches for solving three problems h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e741606f6c6bf507c78dbcf7e95eff4
https://doi.org/10.2118/191601-18rptc-ms
https://doi.org/10.2118/191601-18rptc-ms
Publikováno v:
2018 International Conference on Artificial Intelligence Applications and Innovations (IC-AIAI).
Well logging analysis plays a crucial role in the design of oil field development. The analysis determines the location of the reservoir and its thickness, which defines directly the estimation of oil reserves. Present paper proposes an approach to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dcb30c2f6cef93ce37c7a242a63fc61
https://doi.org/10.1109/ic-aiai.2018.8674435
https://doi.org/10.1109/ic-aiai.2018.8674435
Publikováno v:
2018 International Conference on Artificial Intelligence Applications and Innovations (IC-AIAI).
The paper considers developing the method for instance segmentation of mineral grains in thin section images of sandstone. This task involves the segmentation of quasi-convex objects without occlusions. Most often grains are tightly packed without cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a075d2177c7606e27bee41169b387fe
https://doi.org/10.1109/ic-aiai.2018.8674449
https://doi.org/10.1109/ic-aiai.2018.8674449
Autor:
A.A. Pachezhertsev, E.A. Zhukovskaya, A.N. Zakirov, B.V. Belozerov, Semen Budennyy, Alexander Bukharev, N.V. Bukhanov, M.A. Tugarova
Publikováno v:
Proceedings.
Petrographic data remains one of fundamental information sources for characterization of hydrocarbon reservoirs. Thin section analysis of sandstone aims to describe depositional textures, major grain types and granulometric distribution, sedimentary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d749d47f5e901466a448fa6347d30363
https://doi.org/10.3997/2214-4609.201802177
https://doi.org/10.3997/2214-4609.201802177
Autor:
Artem Tsanda, D. S. Perets, Semen Budennyy, Maxim Simonov, Nikita Volkov, Andrey Margarit, Alexander Bukharev, Yuriy Bogdanov, Alla Andrianova, Darya Serebryakova
Publikováno v:
SPE Russian Petroleum Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51109bc0f20a0be8fbd4c926f292f06b
https://doi.org/10.2118/191601-18rptc-ru
https://doi.org/10.2118/191601-18rptc-ru
Autor:
D. A. Mitrushkin, Alexey Pachezhertsev, A. A. Erofeev, B.V. Belozerov, Semen Budennyy, Alexander Bukharev
Publikováno v:
Day 2 Tue, October 17, 2017.
The article presents the methodology of petrographic thin section analysis, combining the algorithms of image processing and statistical learning. The methodology includes the structural description of thin sections and rock classification based on i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17dd167670f77bce82d8bf9ba4cdf8cf
https://doi.org/10.2118/187885-ms
https://doi.org/10.2118/187885-ms
Autor:
Semen Budennyy, Alexey Pachezhertsev, Alexander Bukharev, Artem Erofeev, Dmitry Mitrushkin, Boris Belozerov
Publikováno v:
SPE Russian Petroleum Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ae1e3ca07b3e5078a65a3409a3bd5f7
https://doi.org/10.2118/187885-ru
https://doi.org/10.2118/187885-ru