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Optimal Measurements Strategy in Micro-Tomography: Amount of Data and Representative Elementary Volume Assessment. Application to Porous Media

机译:微型层析术的最佳测量策略:数据和代表性初等卷评估。 应用于多孔介质

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Nowadays, microtomography experiments require a lot of time to collect data and process it. In order to observe realtime processes (e.g. fluid flow through porous media), measurements and calculations should be carried out fast enough, therefore optimization task should be solved. Two approaches were developed to solve it. The first one is associated with the search of optimal experimental parameters: number of projection and the quality of the detector. The second one is involved with representative elementary volume determination. Moreover, this determination technique is described in general terms and can be applied not only for porous media studies. Both algorithms are based on comparison methods of pore sizes distribution histograms. On this purposes, apart from common Earth Mover's Distance (Wasserstein Distance) metric, a new Mean Vector Distance (MVD) metric was designed and described in this paper.
机译:如今,MicrotoMography实验需要花费大量时间来收集数据并处理它。 为了观察实时过程(例如,通过多孔介质的流体流动),应足够快地进行测量和计算,因此应解决优化任务。 开发了两种方法来解决它。 第一个与最佳实验参数的搜索相关联:投影次数和检测器的质量。 第二个参与代表性基本体积测定。 此外,这种确定技术是一般术语描述的,并且不仅可以用于多孔介质研究。 这两种算法都基于孔径分布直方图的比较方法。 在此目的,除了普通地球移动器的距离(Wasserstein距离)度量,本文设计和描述了新的平均矢量距离(MVD)度量。

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