@inproceedings{d09557f069334b9d91d00879f8b3f677,
title = "Topological characteristics of digital models of geological core",
abstract = "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.",
keywords = "Betti numbers, Digital core, Geological modeling, Topological characteristics",
author = "Gilmanov, {Rustem R.} and Kalyuzhnyuk, {Alexander V.} and Taimanov, {Iskander A.} and Yakovlev, {Andrey A.}",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-99740-7_19",
language = "English",
isbn = "9783319997391",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "273--281",
editor = "Peter Kieseberg and Edgar Weippl and Andreas Holzinger and Tjoa, {A Min}",
booktitle = "Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings",
address = "Germany",
note = "2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018 ; Conference date: 27-08-2018 Through 30-08-2018",
}