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

Bibliografiske detaljer
Parent link:	Lecture Notes in Computer Science Vol. 11015 : Machine Learning and Knowledge Extraction.— 2018.— [P. 273-281]
Institution som forfatter:	Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение нефтегазового дела
Andre forfattere:	Gilmanov R. R. Rustem, Kalyuzhnyuk A. V. Alexander, Taimanov I. A. Iskander, Yakovlev A. A. Andrey Alexandrovich
Summary:	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
Sprog:	engelsk
Udgivet:	2018
Fag:	электронный ресурс труды учёных ТПУ geological modeling Betti numbers digital core topological characteristics геологическое моделирование топологические характеристики
Online adgang:	https://doi.org/10.1007/978-3-319-99740-7_19
Format:	Electronisk Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661584

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