Data-constrained characterization of sandstone microstructures with multi-energy X-ray CT

Y. S. Yang, A. Tulloh, F. Chen, K. Y. Liu, B. Clennell, J. Taylor

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


A data-constrained non-linear optimization approach has been developed to characterize microscopic distributions of mineral phases and pores in a sandstone sample using X-ray CT data sets acquired at 35keV and 45keV beam energies as constraints. The approach minimizes discrepancy between the expected and measured linear absorption coefficients and maximizes Boltzmann distribution probability. It enables integration of both the 3D X-ray CT data-constraints and global level information, and leads to more accurate predictions of microscopic 3D compositional distributions in material samples. Permeability simulations and comparisons with experimentally measured porosity indicate that DCM characterisation agrees reasonably with experimental observations. However, segmentation of CT images leads to under-estimation of porosity and permeability.

Original languageEnglish
Article number012048
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 2013
Externally publishedYes
Event11th International Conference on X-Ray Microscopy, XRM 2012 - Shanghai, China
Duration: 5 Aug 201210 Aug 2012


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