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.
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-02060056
Contributor : Hal Ifip <>
Submitted on : Thursday, March 7, 2019 - 10:37:24 AM
Last modification on : Friday, March 8, 2019 - 1:23:50 AM
Long-term archiving on: Saturday, June 8, 2019 - 1:43:50 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2021-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Rustem Gilmanov, Alexander Kalyuzhnyuk, Iskander Taimanov, Andrey Yakovlev. Topological Characteristics of Digital Models of Geological Core. 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.273-281, ⟨10.1007/978-3-319-99740-7_19⟩. ⟨hal-02060056⟩

Share

Metrics

Record views

110