A porosity calculation method based on CT images and its application

被引：0
作者：
Wang, Yu [1 ,2 ]
Li, Xiao [1 ]
Que, Jiemin [2 ]
Li, Shouding [1 ]
机构：
[1] Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing
[2] Institute of High Energy Physics Chinese Academy of Sciences, Beijing
来源：
Shuili Xuebao/Journal of Hydraulic Engineering | 2015年 / 46卷 / 03期
关键词：
CT image; CT number; Gray level; Porosity; X-ray computed tomography;
D O I：
10.13243/j.cnki.slxb.2015.03.013
中图分类号：
学科分类号：
摘要：
Porosity analysis based on CT images is a significant method to evaluate the geotechnical porous media, and the porosity is currently calculated by threshold segmentation method for single CT image. However, because of the uncertainty of segmentation method in determining the gray threshold value for pores and matrix, even for the same CT image the calculation results from different segmentation are quite different. To overcome the drawback of gray threshold methods, a new method, called here the gray level method was proposed firstly. Using this method, CT number of images can be divided into two camps, one belongs to the pores, and the other belongs to matrix. Then, the proposed method is used to the porosity calculation of rock-soil aggregate. The estimated porosity result was compared with two segmentation methods. A close agreement with the conventional method was found and reliability of the proposed method has been proved. At last, based on the estimated porosity using the proposed method, the deformation and failure process of rock-soil aggregate is analyzed from aspect of meso-porosity evolution. ©, 2015, China Water Power Press. All right reserved.
引用
收藏
页码：357 / 365
页数：8
相关论文
共 11 条
  • [1] Richard A.K., William D.C., Acquisition, optimization and interpretation of X ray computed tomographic imagery: applications to the geosciences, Computers & Geosciences, 27, pp. 381-400, (2001)
  • [2] Pittman E.D., Relationship of porosity and permeability to various parameters derived from mercury injection-capillary pressure curves for sandstone, AAPG Bulletin, 76, 2, pp. 191-198, (1992)
  • [3] Akin S., Schembre J.M., Bhat S.K., Et al., Spontaneous imbibition characteristics of diatomite, Journal of Petroleum Science and Engineering, 25, pp. 149-165, (2000)
  • [4] Withjack E.M., Computed tomography for rock-property determination and fluid-flow visualization, Soc. Pet. Eng. From. Eval., 3, pp. 696-704, (1998)
  • [5] Akin S., Demiral M.R.B., Okandan E., A novel method of porosity measurement utilizing computerized tomography, Situ, 20, pp. 347-365, (1996)
  • [6] Herman G.T., Image Reconstruction from Projects: The Foundation of Computerized Tomography, (1980)
  • [7] Hsieh J., Computed Tomography: Principles, Design, Artifacts, and Recent Advances, pp. 33-36, (2003)
  • [8] Van G.M., Swennen R., Wevers M., Quantitative analysis of reservoir rocks by microfocus X ray computerized tomography, Sediment Geology, 132, 1, pp. 25-36, (2000)
  • [9] Van G.M., Swennen R., Wevers M., Towards 3-D petrography: application of microfocus computer tomography in geological science, Computer & Geosciences, 27, 9, pp. 1091-1099, (2001)
  • [10] Keller A., High resolution, non-destructive measurement and characterization of fracture apertures, International Journal of Rock Mechanics and Mining Science, 35, 8, pp. 1037-1050, (1998)
12