Skip to content

Latest commit

 

History

History
9 lines (7 loc) · 800 Bytes

README.md

File metadata and controls

9 lines (7 loc) · 800 Bytes

Augmenting Xray micro-CT data with MICP data for high resolution pore-microstructural and flow modelling of carbonate rocks.

Extracting pore size distribution from xray data.

Lead Invsestigator: Olubukola Ishola (olubukola.ishola@okstate.edu)
Co-Investigator: Javier Vilcaez
Associated Paper: Augmenting Xray micro-CT data with MICP data for high resolution pore-microstructural and flow modelling of carbonate rocks.
DOI:

The notebook demonstrates the workflow for obtaining pore size distribution from binarized micro-CT images. The general principle involves identifying each pore, estimating the volume of each pore, and ultimately determining the radius of a sphere with an equivalent volume of each pore. There is also an option to analyse the sample to see if it is representative.