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

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED Russian Journal of Numerical Analysis and Mathematical Modelling Pub Date : 2023-12-05 DOI:10.1515/rnam-2023-0028
Serguei Yu. Maliassov, Yuri V. Vassilevski
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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.
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利用部分最小特征值问题解提取数字岩心图像的连通路径
我们从理论上和数值上证明了一个特定特征问题的最低非平凡特征向量函数在高电导率通道中几乎具有恒定值,而在单独的通道中则不同。因此,基于这些不同的值,可以识别出数字岩心中所有独立连接的开孔簇。
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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