4-D imaging of sub-second dynamics in pore-scale processes using real-time synchrotron X-ray tomography
4-D imaging of sub-second dynamics in pore-scale processes using real-time synchrotron X-ray tomography
复制标题
DOI：
10.5194/se-7-1059-2016
复制
发表时间：
2016-01-01
期刊：
影响因子：
3.4
通讯作者：
Withers, Philip J.
中科院分区：
文献类型：
--
作者：
Dobson, Katherine J.;Coban, Sophia B.;Withers, Philip J.
可变体积流动池集成了最先进的超高速同步加速器x射线断层成像技术。该组合首次实现了4-D （3-D +时间）动态孔隙（微米）尺度流体传输过程的实时（亚秒）捕获。利用高达20 Hz的3d数据量，我们进行了原位实验，在5-25mm直径的样品中捕获高频孔隙尺度动态，体素（3-D相当于一个像素）分辨率为2.5至3.8 μ m。这些数据没有运动假物，可以在相同的方向上进行空间注册或收集，使其适合于动态流体分布路径和过程的详细定量分析。本文提出的方法能够捕获广泛的高频非平衡孔隙尺度过程，包括润湿、稀释、混合和反应现象，而不会牺牲显著的空间分辨率。以及快速流（连续采集）在20赫兹，他们也允许更大规模和更长期的实验运行采样间歇在较低的频率（延时成像），受益于快速的图像采集率，以防止运动模糊在高动态系统。这标志着高频孔隙尺度过程量化的重大技术突破：该过程对于开发和验证更准确的多尺度流动模型至关重要，该模型通过空间和时间上的非均质孔隙网络。
A variable volume flow cell has been integrated with state-of-the-art ultra-high-speed synchrotron X-ray tomography imaging. The combination allows the first realtime (sub-second) capture of dynamic pore (micron)-scale fluid transport processes in 4-D (3-D + time). With 3-D data volumes acquired at up to 20 Hz, we perform in situ experiments that capture high-frequency pore-scale dynamics in 5-25mm diameter samples with voxel (3-D equivalent of a pixel) resolutions of 2.5 to 3.8 mu m. The data are free from motion artefacts and can be spatially registered or collected in the same orientation, making them suitable for detailed quantitative analysis of the dynamic fluid distribution pathways and processes. The methods presented here are capable of capturing a wide range of high-frequency nonequilibrium pore-scale processes including wetting, dilution, mixing, and reaction phenomena, without sacrificing significant spatial resolution. As well as fast streaming (continuous acquisition) at 20 Hz, they also allow larger-scale and longer-term experimental runs to be sampled intermittently at lower frequency (time-lapse imaging), benefiting from fast image acquisition rates to prevent motion blur in highly dynamic systems. This marks a major technical breakthrough for quantification of high-frequency pore-scale processes: processes that are critical for developing and validating more accurate multiscale flow models through spatially and temporally heterogeneous pore networks.