Global Geology 2023, 26(3) 157-166 DOI:     ISSN: 1673-9736 CN: 22-1371/P

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Keywords
 CT
threshold segmentation
digital core
mineral
Authors
ZHANG Naiyu
GUAN Yao
GUO Yuhang
WANG Qinghui
ZHANG Lihua and PAN Baozhi
PubMed
Article by Zhang N
Article by Guan Y
Article by Guo Y
Article by Wang Q
Article by Zhang LAPB

 Determination of multi-component content and construction of digital cores based on CT grey thresholds of altered igneous rocks

 ZHANG Naiyu1 , GUAN Yao2 , GUO Yuhang1 , WANG Qinghui2 , ZHANG Lihua1 and PAN Baozhi1*

 1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. China National Offshore Oil Corporation, Shenzhen 518067, Guangdong, China

Abstract

 Altered igneous reservoirs have low porosity and permeability, compact structure and certain heterogeneity. A simple digital core with certain generality and multi-parameter constraints can be constructed to characterize the microscopic pore structure and mineral composition. In this paper, based on core X-ray, CT images and whole-rock mineral analysis, threshold segmentation of mass content and grayscale distribution of various minerals in different lithologies of igneous rocks in the buried hill of Huizhou depression is carried out to construct digital core of altered igneous rocks. The results show that after converting the mineral mass content into volume content, the minerals of altered igneous rocks in Huizhou depression can be classified into components. According to the range of grayscale value, components can be divided into six parts. Due to the difference of the content of components in different lithologies of igneous rocks, differentiated grayscale threshold segmentation is needed to obtain the digital core for a single lithology. The final digital core generation process includes two steps: building a single component digital core, and stacking and combining. This kind of universal digital core model can support the subsequent pore scale numerical simulation and comprehensive rock physics research.

Keywords  CT   threshold segmentation   digital core   mineral  
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