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SEM Image Porosity and Pore Size

version 1.0.12 (819 KB) by Arash Rabbani
The code takes gray-scale SEM images and gives back its porosity and pore size distribution

933 Downloads

Updated 09 Feb 2021

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Extraction of porosity and pore size distribution from SEM images

We assume that the input SEM images are gray-scale and darker parts of the image
shows deeper surfaces which are considered as pore spaces

Hints:
if your image has got a transparency layer (alpha) you need to remove it.
Also, if the image has got the black subtitle bar, it should be removed before feeding to the code.
Let me know if you ran into a problem.

Please cite these papers:

Rabbani, A., & Salehi, S. (2017). Dynamic modeling of the formation
damage and mud cake deposition using filtration theories coupled with
SEM image processing. Journal of Natural Gas Science and Engineering, 42, 157-168.

Ezeakacha, C. P., Rabbani, A., Salehi, S., & Ghalambor, A. (2018, February).
Integrated Image Processing and Computational Techniques to Characterize Formation
Damage. In SPE International Conference and Exhibition on Formation Damage Control.
Society of Petroleum Engineers.

Check out my tutorial videos on porous material modeling via Matlab on youtube:
https://www.youtube.com/playlist?list=PLaYes2m4FtR3DBM7TIb6oOZYI-tG4fHLd

By Arash Rabbani
arashrabbani.com
rabarash@yahoo.com

Cite As

Rabbani, A., & Salehi, S. (2017). Dynamic modeling of the formation damage and mud cake deposition using filtration theories coupled with SEM image processing. Journal of Natural Gas Science and Engineering, 42, 157-168.

Ezeakacha, C. P., Rabbani, A., Salehi, S., & Ghalambor, A. (2018, February). Integrated Image Processing and Computational Techniques to Characterize Formation Damage. In SPE International Conference and Exhibition on Formation Damage Control. Society of Petroleum Engineers.

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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