Topological Characteristics of Digital Models of Geological Core; Lecture Notes in Computer Science; Vol. 11015 : Machine Learning and Knowledge Extraction
| Parent link: | Lecture Notes in Computer Science Vol. 11015 : Machine Learning and Knowledge Extraction.— 2018.— [P. 273-281] |
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| Autor corporatiu: | |
| Altres autors: | , , , |
| Sumari: | 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 |
| Idioma: | anglès |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-319-99740-7_19 |
| Format: | Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661584 |
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| 200 | 1 | |a Topological Characteristics of Digital Models of Geological Core |f R. R. Gilmanov [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 281 (10 tit.)] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Lecture Notes in Computer Science | ||
| 463 | |t Vol. 11015 : Machine Learning and Knowledge Extraction |o proceedings of International Cross-Domain Conference for Machine Learning and Knowledge Extraction CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018 |v [P. 273-281] |d 2018 | ||
| 610 | 1 | |a электронный ресурс | |
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| 610 | 1 | |a geological modeling | |
| 610 | 1 | |a Betti numbers | |
| 610 | 1 | |a digital core | |
| 610 | 1 | |a topological characteristics | |
| 610 | 1 | |a геологическое моделирование | |
| 610 | 1 | |a топологические характеристики | |
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