Shale Microstructure Extraction Based on Micro-CT and Permeability Inversion

被引:0
作者
Jicheng Zhang
Sheng Sang
Tianran Ma
Chunguang Wang
Junguo Chen
机构
[1] Shandong University of Science and Technology,State Key Laboratory of Mine Disaster Prevention and Control
[2] CCTEG Beijing Academy of Land Renovation and Ecological Restoration Technology Co.,School of Mechanics and Civil Engineering
[3] Ltd.,State Key Laboratory Cultivation Base for Gas Geology and Gas Control
[4] China University of Mining and Technology,undefined
[5] Henan Polytechnic University,undefined
来源
Geotechnical and Geological Engineering | 2022年 / 40卷
关键词
Microstructure; Micro-CT; Restructure; Permeability; Inversion;
D O I
暂无
中图分类号
学科分类号
摘要
A shale rock sample was scanned by micro-CT technology, tomographic images of the rock sample were obtained, and the three-dimensional structure was reconstructed by Avizo software. The uneven three-dimensional space structure inside the rock sample was composed of fractures, branch fractures and pores. Sample 1 has a porosity of 6–8% due to fractures, the porosity of sample 2 is between 4 and 5%. A self-written MATLAB program extracts the pore and fracture structure data from the scanned image and imports the data into COMSOL software to calculate the permeability of the rock sample by inversion. The macroscopic permeability of a rock sample is a comprehensive manifestation of the microelements of the rock sample. The greater the porosity of a rock sample, the greater its corresponding permeability. During the percolation process, medium exchange occurs frequently between the matrix and the pores and cracks. The permeability increases with increasing pore pressure and decreases with increasing confining pressure.
引用
收藏
页码:3245 / 3254
页数:9
相关论文
共 49 条
  • [1] Clarkson CR(2013)Pore structure characterization of North American shale gas reservoirs using usans/sans, gas adsorption, and mercury intrusion Fuel 103 606-616
  • [2] Solano NR(2021)Permeability and porosity modelling for resedimented mudrocks-application for compaction dominated mudrock systems Mar Pet Geol 128 1-21
  • [3] Bustin RM(1963)The physical basis of analytical atomic absorption spectrometry. The pertinence of the Beer-Lambert law Anal Chem 35 942-946
  • [4] Bustin A(2018)Characterization method of shale pore structure based on nano-CT: a case study of well JY-1 Acta Petrolei Sinica 39 1253-1261
  • [5] Blach TP(2020)Experimental investigation of the influence of bedding planes and differential stress on microcrack propagation in shale using X-ray CT scan Geotech Geol Eng 39 213-236
  • [6] Dessouki M(2016)Sensitivity studies on fracture network variables for modelling carbon dioxide storage and enhanced recovery in the Chattanooga Shale Formation Int J Oil Gas Coal Tech 12 265-284
  • [7] Hathon L(2021)Rockburst mechanism in coal rock with structural surface and the microseismic (MS) and electromagnetic radiation (EMR) response Eng Fail Anal 124 105396-424
  • [8] Myers M(2021)Effect of microwave irradiation on computed tomography and acoustic emission characteristics of hard rock Geotech Geol Eng 39 411-115
  • [9] Fuwa K(2016)Experimental study of anisotropic gas permeability and its relationship with fracture structure of Longmaxi Shales, Sichuan Basin, China Fuel 180 106-376
  • [10] Valle BL(2015)An integrated method for upscaling pore-network characterization and permeability estimation: example from the Mississippian Barnett Shale Transp Porous Media 109 359-409