Education, Science, Technology, Innovation and Life
Open Access
Sign In

Simulation of Three Dimensional Pore Model of Berea Sandstone Core by CT Scanning Method Based on AVIZO Software

Download as PDF

DOI: 10.23977/erej.2022.060603 | Downloads: 19 | Views: 937

Author(s)

Yunye Liu 1, Hai Zhu 2

Affiliation(s)

1 China University of Petroleum (East China), Qingdao, China
2 Guangzhou Gas Group, Guangzhou, China

Corresponding Author

Yunye Liu

ABSTRACT

In this paper, X-ray CT scanning was performed on the Berea sandstone core samples to obtain two-dimensional multimedia images. AVIZO software was used to binarize the two-dimensional core images and extract the core pore model. The maximum sphere algorithm was used to characterize the extracted core pores and the pore model, and a 3D pore network model was established. The theoretical method for establishing 3D digital core pore network was described in detail, and the parameter setting method in the algorithm was introduced. The research showed that, AVIZO software could be used to visualize modelling of the 3D digital core pore network, the extracted Berea sandstone pore network had good connectivity, showing obvious pore network size differentiation. The simulation model supported good reduction of the Berea sandstone core, and hydrodynamics related calculation can be carried out in the next step.

KEYWORDS

3D digital core, AVIZO, simulation, CT scanning, Berea sandstone, Pore network model, Maximum sphere algorithm

CITE THIS PAPER

Yunye Liu, Hai Zhu, Simulation of Three Dimensional Pore Model of Berea Sandstone Core by CT Scanning Method Based on AVIZO Software. Environment, Resource and Ecology Journal (2022) Vol. 6: 16-21. DOI: http://dx.doi.org/10.23977/erej.2022.060603.

REFERENCES

[1] Li Yuhui. Development and application of oil recovery technology. China Petroleum and Chemical Standards and Quality, 2018(14):161-164.
[2] Song Peng. A brief introduction to the present situation and prospect of the petroleum extraction wastewater treatment technology. New Technology & New Products of China, 2012(01):199.
[3] Sun J, Gao J, Jiang Y, et al. Resistivity and relative permittivity imaging for oil-based mud: A method and numerical simulation. Journal of Petroleum Science and Engineering, 2016, 147: 24-33.
[4] Han T, Clennell MB, Josh M, et al. Determination of effective grain geometry for electrical modeling of sedimentary rocks.Geophysics,2015,80(4): D319-D327.
[5] Elliott J C, Dover S D. X-ray micro-tomography. Journal of Microscopy, 1982, 126: 211-213.
[6] Dunsmuir J H, Ferguson S R, D'Amico K L, et al. X-ray microtomography: a new tool for the characterization of porous media.SPE annual technical conference and exhibition. Society of Petroleum Engineers, 1991.38:97-99.
[7] Li Yong, Chi Yanmeng, Han Shanling, Zhao Chaojie, Miao Yanan. Pore-throat structure characterization of carbon fiber reinforced resin matrix composites: Employing Micro-CT and Avizo technique. PloS one, 2021, 16(9):88-95.
[8] Zhang Pengfei, Lu Shuangfang, Li Junqian, et al. Quantitative characterization of shale microscopic pore structure based on scanning electron microscopy. Journal of China University of Petroleum (Edition of Natural Science), 2018, 42(02): 19-28.
[9] Yang Kun, Wang Fuyong, Zeng Fanchao, et al. Permeability prediction method based on digital core fractal characteristics. Journal of Jilin University (Earth Science Edition), 2020, 50(04): 1003-1011.
[10] Silin D, Patzek T. Pore space morphology analysis using maximal inscribed spheres. Physica A:Statistical mechanics and its applications, 2006,371(2):336-360.
[11] Silin D, Jin G, Patzek T. Robust determination of pore space morphology in sedimentary rocks. Annual Technical Conference and Exhibition. 2003,15:68.
[12] Al-Kharusi A S, Blunt M J. Network extraction from sandstone and carbonate pore space images. Journal of Petroleum Science and Engineering, 2007, 56(4): 219-231.
[13] Dong H. Micro-CT imaging and pore network extraction. London: Imperial College, 2007, 87:55-60.

Downloads: 4758
Visits: 253133

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.