Topological Characteristics of Digital Models of Geological Core

Bibliographic Details
Parent link:Lecture Notes in Computer Science
Vol. 11015 : Machine Learning and Knowledge Extraction.— 2018.— [P. 273-281]
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение нефтегазового дела
Other Authors: 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
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-99740-7_19
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661584