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<p>To study the microscopic pore structure of tight sandstone reservoirs, digital core technology using micro-CT scanning combined with mathematical algorithms in Avizo software is used to construct a digital core model and quantitatively characterize the rock sample’s pore structure. Taking the rock samples of the Stone-Box formation reservoir in Area J of the northern Ordos Basin as an example, we carried out a three-dimensional visualization and quantitative analysis of the pore structure of the rock samples using computer image processing algorithms and ‘maximal ball’ algorithms and applied numerical simulation to obtain the core pore structure parameters, such as pore throat dimensions, throat lengths, and the number of collocations, and finally realized the quantitative characterization of the micro-pore structure of the reservoir. The results show that the combination of threshold segmentation and light/dark difference segmentation can accurately identify and extract the pore-throat region in the rock samples; when the prism length of the digital core is more than 400 pixels, the porosity obtained tends to be close to the fixed value; the dense sandstone reservoir in the study area has many isolated pores with uneven distribution, and the shape of the pores is mostly ellipsoidal or nearly circular, with the pore radius mainly distributed in 3.89-8.48 μm and the throat radius mainly distributed in 0.56-7.31 μm. The pore radius is mainly 3.89-8.48μm, and the throat radius is mainly 0.56-7.31 μm, which provides favorable reservoir space for oil and gas storage; the pore and throat coordination number varies, and the permeability is less than 1·10<sup>-3</sup> μm<sup>2</sup>, such as rock samples A, B, and C, with a model coordination number of 1-3, and the permeability is greater than 1·10<sup>-3</sup> μm<sup>2</sup>, such as rock samples D and E, with a model coordination number of 2-5. The present study contributes to the quantitative evaluation of the micro-parameters of the reservoir and the visualization of the micro-structure of rock samples. This study helps the quantitative evaluation of reservoir micro-parameters and provides technical support for the visual and quantitative characterization of the microstructure of rock samples.</p>

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Quantitative Characterization of Microscopic Pore Structure of Tight Sandstone Gas Reservoirs Based on Micron CT Scanning

  • 期刊论文

  • 发表日期：

    2025年5月1日

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  • Sen Zheng,
  • Ruifei Wang,
  • Zhihong Li,
  • Linhao Qiu,
  • Jia Zhao,
  • Qianru Shou,
  • Jiaming Liu

摘要

To study the microscopic pore structure of tight sandstone reservoirs, digital core technology using micro-CT scanning combined with mathematical algorithms in Avizo software is used to construct a digital core model and quantitatively characterize the rock sample’s pore structure. Taking the rock samples of the Stone-Box formation reservoir in Area J of the northern Ordos Basin as an example, we carried out a three-dimensional visualization and quantitative analysis of the pore structure of the rock samples using computer image processing algorithms and ‘maximal ball’ algorithms and applied numerical simulation to obtain the core pore structure parameters, such as pore throat dimensions, throat lengths, and the number of collocations, and finally realized the quantitative characterization of the micro-pore structure of the reservoir. The results show that the combination of threshold segmentation and light/dark difference segmentation can accurately identify and extract the pore-throat region in the rock samples; when the prism length of the digital core is more than 400 pixels, the porosity obtained tends to be close to the fixed value; the dense sandstone reservoir in the study area has many isolated pores with uneven distribution, and the shape of the pores is mostly ellipsoidal or nearly circular, with the pore radius mainly distributed in 3.89-8.48 μm and the throat radius mainly distributed in 0.56-7.31 μm. The pore radius is mainly 3.89-8.48μm, and the throat radius is mainly 0.56-7.31 μm, which provides favorable reservoir space for oil and gas storage; the pore and throat coordination number varies, and the permeability is less than 1·10-3 μm2, such as rock samples A, B, and C, with a model coordination number of 1-3, and the permeability is greater than 1·10-3 μm2, such as rock samples D and E, with a model coordination number of 2-5. The present study contributes to the quantitative evaluation of the micro-parameters of the reservoir and the visualization of the micro-structure of rock samples. This study helps the quantitative evaluation of reservoir micro-parameters and provides technical support for the visual and quantitative characterization of the microstructure of rock samples.