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

Dettagli Bibliografici
Parent link:Lecture Notes in Computer Science
Vol. 11015 : Machine Learning and Knowledge Extraction.— 2018.— [P. 273-281]
Ente Autore: Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение нефтегазового дела
Altri autori: Gilmanov R. R. Rustem, Kalyuzhnyuk A. V. Alexander, Taimanov I. A. Iskander, Yakovlev A. A. Andrey Alexandrovich
Riassunto: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
Lingua:inglese
Pubblicazione: 2018
Soggetti:
Accesso online:https://doi.org/10.1007/978-3-319-99740-7_19
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661584