Micro-CT image calibration to improve fracture aperture measurement

Hamed Lamei Ramandi, Ryan T. Armstrong, Peyman Mostaghimi
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引用次数: 49

Abstract

A novel technique for the accurate measurement and adjustment of fracture apertures in digital images of fractured media is presented. We utilize X-ray micro-computed tomography to image a highly fractured coal sample and collect high-resolution scanning electron microscope (SEM) images from the samples surface to facilitate segmentation of coal fractures. The gray-scale micro-CT values at the mid-point of fractures are obtained and correlated to aperture sizes measured with the higher resolution SEM data. Afterwards, the micro-CT images are upsampled to enable assignment of aperture sizes smaller than the image resolution. We initially segment the coal image, upsample the segmented image, and then re-calibrate the fracture aperture sizes. The final calibrated segmented image contains the fracture network acquired from the micro-CT data with precise aperture sizes assigned based on the high-resolution SEM data. To illustrate the importance of accurate aperture measurement, two coal subsets are tested. The permeabilities before and after applying the calibration method are measured. The results show a significant change in numerical permeabilities after applying the calibration method. This indicates that a large amount of information is potentially omitted when utilizing standard image segmentation tools to segment fractured media.

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微ct图像校正改进裂缝孔径测量
提出了一种裂缝介质数字图像中裂缝孔径精确测量与调整的新技术。利用x射线微计算机断层成像技术对高裂隙煤样进行成像,并从样品表面采集高分辨率扫描电镜(SEM)图像,以方便煤裂隙的分割。获得了裂缝中点的灰度微ct值,并将其与高分辨率SEM数据测得的孔径大小相关联。之后,微ct图像上采样,使孔径大小分配小于图像分辨率。首先对煤体图像进行分割,对分割后的图像进行上采样,然后重新标定裂缝孔径大小。最终校准的分割图像包含了从微ct数据中获得的裂缝网络,并根据高分辨率扫描电镜数据分配了精确的孔径大小。为了说明精确孔径测量的重要性,对两个煤亚组进行了测试。测量了采用标定方法前后的渗透率。结果表明,采用校正方法后,数值渗透率发生了显著变化。这表明,在使用标准图像分割工具对破碎介质进行分割时,可能会遗漏大量信息。
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Contents Editorial Board Editorial Board Contents Comparison of surface-based and image-based quality metrics for the analysis of dimensional computed tomography data
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