Extracting connectivity paths in digital core images using solution of partial minimum eigenvalue problem-Reference-Cited by-同舟云学术

Extracting connectivity paths in digital core images using solution of partial minimum eigenvalue problem

Published:2023-12-01 Issue:6 Volume:38 Page:373-380
ISSN:1569-3988
Container-title:Russian Journal of Numerical Analysis and Mathematical Modelling
language:en
Short-container-title:

Author:

Maliassov Serguei Yu.¹,Vassilevski Yuri V.¹²

Affiliation:

1. Scientific Center for Information Technology and Artificial Intelligence, Sirius University of Science and Technology , Sochi , Russia

2. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences , Moscow , Russia

Abstract

Abstract We show theoretically and numerically that the lowest non-trivial eigenvector function for a specific eigenproblem has almost constant values in high conductivity channels, which are different in separate channels. Therefore, based on these distinct values, all separate connected clusters of open pores can be identified in digital cores.

Publisher

Walter de Gruyter GmbH

Subject

Modeling and Simulation,Numerical Analysis

Link

https://www.degruyter.com/document/doi/10.1515/rnam-2023-0028/pdf

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