Image-based rock typing using local homogeneity filter and Chan-Vese model
Type
ArticleKAUST Department
Applied Mathematics and Computational Science ProgramComputational Transport Phenomena Lab
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant Number
BAS/1/1351-01URF/1/3769-01
URF/1/4074-01
Date
2021-02-06Online Publication Date
2021-02-06Print Publication Date
2021-05Embargo End Date
2023-03-13Submitted Date
2020-04-09Permanent link to this record
http://hdl.handle.net/10754/668177
Metadata
Show full item recordAbstract
Image-based rock typing is carried out to classify an image of the heterogeneous rock sample into different rock types where each rock type can be treated as a homogeneous porous medium. In this study, we propose an innovative method for rock typing of the heterogeneous rock sample via three steps. First, the target image, a segmented binary image with two phases of pore and solid, is consecutively inputted into two filters of a local homogeneity filter and an average filter to increase the contrast between different rock types and decrease the contrast within each single rock type. Second, Chan-Vese model is applied to classify the filtered image into different rock types. Third, a thresholding is used to remove the particles, which are treated as noisy particles, smaller than a given preset size. The main idea of the local homogeneity filtering introduced in this study is undertaken by counting the number of pixels that possess the same phases as the center pixel within a 3 × 3 pixels neighborhood. This process is carried out iteratively, which means the previously estimated pixel will be used in the estimation of its neighbor unprocessed pixels. We demonstrate the application of the proposed method in several heterogeneous images and present good performance.Citation
Wang, Y., Alzaben, A., Arns, C. H., & Sun, S. (2021). Image-based rock typing using local homogeneity filter and Chan-Vese model. Computers & Geosciences, 150, 104712. doi:10.1016/j.cageo.2021.104712Sponsors
The four authors cheerfully acknowledge that this work is supported by King Abdullah University of Science and Technology (KAUST) through the grants BAS/1/1351-01, URF/1/4074-01, and URF/1/3769-01. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.Publisher
Elsevier BVJournal
Computers & GeosciencesAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0098300421000261Relations
Is Supplemented By:- [Software]
Title: yuzhu561/Rock_Typing_CV: This code is developed for image-based rock typing of porous media using Chan-Vese model. Publication Date: 2020-04-15. github: yuzhu561/Rock_Typing_CV Handle: 10754/668349
ae974a485f413a2113503eed53cd6c53
10.1016/j.cageo.2021.104712