首页> 外文期刊>Journal of instrumentation: an IOP and SISSA journal >Optimization of image resolution parameters to characterize carbonate rocks through representative elementary volume analysis.
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Optimization of image resolution parameters to characterize carbonate rocks through representative elementary volume analysis.

机译:通过代表性基本体积分析,优化图像分辨率参数,以表征碳酸盐岩。

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摘要

X-ray computed microtomography (microCT) is a powerful nondestructive and noninvasive technique for 2D and 3D structure analyses. However, the parameters used in the image acquisition process have a direct influence on the qualitative and quantitative results, such as porosity, and on the characterization of samples, such as carbonate rocks, due to the spatial resolution of the image. The aim of this study is to determine the influence of these parameters on the results through tests in which these parameters are changed in different scenarios and system characterizations. In addition, with the optimum parameters, the whole sample image was acquired for characterization and compared to the homogeneity and representativeness of one part of the sample. The results demonstrate that the pixel size and detector matrix are the main parameters that influence the spatial resolution and that the use of additional filters for better image quality is essential. Microtomography is considered an excellent technique for rock characterization by using the best image spatial resolution possible.
机译:X射线计算的MICROROMOMACT(MicroCT)是2D和3D结构分析的强大无损和非侵入性技术。然而,由于图像的空间分辨率,图像采集过程中使用的参数对定性和定量结果(例如孔隙率)具有直接影响,例如孔隙率,以及诸如碳酸盐岩的样本的表征。本研究的目的是通过在不同场景和系统特征中改变这些参数的测试来确定这些参数对结果的影响。另外,利用最佳参数,获取整个样本图像的表征,并与样品的一部分的均匀性和代表性相比。结果表明,像素大小和检测器矩阵是影响空间分辨率的主要参数,并且使用额外的滤波器以获得更好的图像质量是必要的。通过使用最佳图像空间分辨率,MICROROMACTOM被认为是岩石表征的优异技术。

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