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Three-dimensional measurement of fractures in heterogeneous materials using high-resolution X-ray computed tomography

机译:使用高分辨率X射线计算机断层扫描技术对异质材料中的裂缝进行三维测量

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When present, fractures tend to dominate fluid flow though rock bodies, and characterizing fracture networks is necessary for understanding these flow regimes. X-ray computed tomography (CT) has long been successfully used to image fractures in solid samples, but interpretation of CT data is complicated by the inevitable blurring that occurs when fractures are thin compared to the data resolution. This issue is particularly acute when attempting to quantify fine fractures in scans of larger samples, as typically required for characterizing flow systems on a meaningful scale. A number of methods have been proposed to account for CT blurring, but do not include the ability to account for material inhomogeneity and fracture orientation. We here propose an improved method for fracture measurement that consists of characterizing the blurring as a point-spread function (PSF), and using it, in combination with a calibration for the CT number for void space, in an iterative procedure to reconstruct the fracture and material configuration; we call this the inverse PSF (IPSF) method. Tests on CT scans of homogeneous natural samples show that the IPSF method provides more precise results than others. Further testing demonstrates that it can also recover accurate measurements in heterogeneous materials, although particularly severe inhomogeneities may lead to a locally noisy signal. The accuracy, generality, and adaptability of the IPSF method make it very well suited for characterizing fractures and fractures surfaces in natural materials. The principles behind the IPSF method also apply to the reverse problem of measuring thin features that are denser than their surroundings, such as veins or membranes, when they have one dimension that is small compared to CT data resolution.
机译:当存在裂缝时,裂缝往往会主导流经岩体的流体,因此表征裂缝网络对于理解这些流态是必不可少的。 X射线计算机断层扫描(CT)早已成功地用于对固体样品中的裂缝进行成像,但是与数据分辨率相比,当裂缝较薄时不可避免地会出现模糊现象,从而使CT数据的解释变得复杂。当试图量化较大样本扫描中的细裂缝时,此问题尤为严重,这是在有意义的规模上表征流动系统通常需要的。已经提出了许多方法来解决CT模糊问题,但是不包括解决材料不均匀性和裂缝取向的能力。我们在这里提出一种改进的裂缝测量方法,该方法包括将模糊特征化为点扩展函数(PSF),并结合迭代方法重建空隙来使用它与空隙空间CT数校准和材料配置;我们称其为反向PSF(IPSF)方法。对均质天然样品的CT扫描测试表明,IPSF方法可提供比其他方法更精确的结果。进一步的测试表明,它还可以在异质材料中恢复精确的测量值,尽管特别严重的不均匀性可能会导致局部噪声信号。 IPSF方法的准确性,通用性和适用性使其非常适合表征天然材料中的裂缝和裂缝表面。 IPSF方法的原理也适用于测量比其周围环境更稠密的细小特征(例如静脉或膜)的逆向问题,当它们的一维尺寸小于CT数据分辨率时。

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