Parameterization of the representative sizes of microstructural features in rocks using 3D X-ray computed tomographic images

Seong Jun Ha, Yeon Jong Jeong, Tae Sup Yun

Research output: Contribution to journalArticle

Abstract

The sizes of microstructural features determine the mechanical behaviors of rocks, but the complex nature of their structures frequently hinders the precise quantification of the feature sizes. This study presents a digital-image-based quantification for evaluating the representative sizes of the microstructures in rocks. This method, using a madogram function, allows obtaining a single length value that uniquely represents the internal scales of the constituents in a heterogeneous material based on 3D X-ray computed tomographic images. The madogram function has the advantage of being applicable to grayscale images without any post-processing, which overcomes the limited applicability of previous correlation methods. The method was first validated in patterned and random heterogeneous domains that were synthetically prepared. Then, we further validated the method using original 16-bit μ-CT images of 14 rock samples with the consideration of domain size and image resolution. The measurements of the geophysical properties were performed to investigate their correlation with the representative sizes of the microstructures in rocks.

Original languageEnglish
Article number104590
JournalComputers and Geosciences
Volume144
DOIs
Publication statusPublished - 2020 Nov

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computers in Earth Sciences

Fingerprint Dive into the research topics of 'Parameterization of the representative sizes of microstructural features in rocks using 3D X-ray computed tomographic images'. Together they form a unique fingerprint.

  • Cite this