Zobrazeno 1 - 10
of 47
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
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
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
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
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.
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
Autor:
Semen Budennyy, Alexey Pachezhertsev, Alexander Bukharev, Artem Erofeev, Dmitry Mitrushkin, Boris Belozerov
Publikováno v:
SPE Russian Petroleum Technology Conference.
Autor:
Siladi, Paul1 (AUTHOR) paul.siladi@ubbcluj.ro
Publikováno v:
Religions. Mar2023, Vol. 14 Issue 3, p295. 13p.
Autor:
LADOUCEUR, PAUL1 123thabor@gmail.com
Publikováno v:
Review of Ecumenical Studies. Aug2018, Vol. 10 Issue 2, p141-155. 15p.
Publikováno v:
One in Christ. 2015, Vol. 49 Issue 2, p299-330. 32p.