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Improvement of Extracted pore-throat Network Model from CT Scan Images Using Percolation Concepts

Barzegar, Farzad | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50961 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Masihi, Mohsen; Jamshidi, Saeed
  7. Abstract:
  8. The static and dynamic properties of a porous medium are highly dependent on its internal geometry. CT scan images are used to obtain porous media geometry. These images are not directly suitable for computational purpose. Because these images are not easy computable, the pore-throat network models are used to geometrical conversation. Extracting these models from CT scans is done using statistical-probabilistic methods based on image processing. In this study, new methods for extracting the 3D pore network model from 2D/3D CT scan images and pore connection detection are presented. In this method, the geometric static parameters of the rock, including the porosity, the porosity-based homogeneity index of rock, the distribution, and the average pore size& coordination number are calculated. Finally, using the 2D/3D CT scan images of a different rock sample, the results of the proposed methods are compared with the results of the modified maximal ball (MMB) method. Good agreement was found between the results of the models. Also, the pore network extracted from sandstone, carbonate and synthetic rocks and corresponding porosity-based homogeneity index are presented and discussed
  9. Keywords:
  10. Image Processing ; Clustering ; CT Image Digital ; Percolation Theory ; Pore-Throat Network ; Throat Spanning ; Homogeneity Index

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