Topological Characteristics of Digital Models of Geological Core; Lecture Notes in Computer Science; Vol. 11015 : Machine Learning and Knowledge Extraction

Topological Characteristics of Digital Models of Geological Core; Lecture Notes in Computer Science; Vol. 11015 : Machine Learning and Knowledge Extraction

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Parent link:Lecture Notes in Computer Science
Vol. 11015 : Machine Learning and Knowledge Extraction.— 2018.— [P. 273-281]
Korporativní autor: Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение нефтегазового дела
Další autoři: Gilmanov R. R. Rustem, Kalyuzhnyuk A. V. Alexander, Taimanov I. A. Iskander, Yakovlev A. A. Andrey Alexandrovich
Shrnutí:Title screen
We discuss the possibility of applying stochastic approaches to core modeling by using tools of topology. The study demonstrates the prospects of applying topological characteristics for the description of the core and the search for its analogs. Moreover application of topological characteristics (for example, in conjunction with machine learning methods) in the long term will make it possible to obtain petrophysical properties of the core samples without carrying out expensive and long-term filtration experiments.
Режим доступа: по договору с организацией-держателем ресурса
Jazyk:angličtina
Vydáno: 2018
Témata:
электронный ресурс
труды учёных ТПУ
geological modeling
Betti numbers
digital core
topological characteristics
геологическое моделирование
топологические характеристики
On-line přístup:https://doi.org/10.1007/978-3-319-99740-7_19
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661584

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