Oral Presentation 26th ACMM “2020 Visions in Microscopy”

Water invading porous sandstone visualised via high-resolution x-ray computed microtomography (#78)

Anna Herring 1 , Ruotong Huang 1
  1. The Australian National University, Canberra, ACT, Australia

We present 3D images of wetting fluid (potassium iodide-doped water) spontaneously infiltrating into a dry Bentheimer sandstone core, a process called “imbibition”. High resolution (voxel size of 1.7 micron) X-ray tomograms were acquired under quasi-static conditions at four timepoints throughout the process, allowing for investigation of the evolution of water distribution and water-air interfaces within the porous sandstone architecture. The experiment was carried out in-situ: the sandstone sample was installed in the flow cell on the sample stage, hydraulic connections were attached to the fluid pump inside the X-ray cabinet, and fluid flow was carried out with the sample in place on the sample stage. This set-up resulted in almost-perfect registration of the successive 3D data sets, and also allowed for real-time dynamic 2D imaging of the fluid invasion via X-ray radiographic projections.

Imaging was carried out at the Australian National University (ANU) CTLab using a space-filling helical scanning trajectory [1] combined with a high-quality region-of-interest (ROI) scanning method. ROI scanning maximises resolution (while also preserving field of view- in this case 4.6 x 4.6 mm) by scanning an internal subsection of the sample, i.e. the flow cell and the very edge of the sample are not captured in the projections. In order to accomplish this, a quick, low-resolution 'reference scan' is acquired, followed by a full-resolution scan of the internal sub-region. The reference scan is reconstructed, and the (now known) features outside of the ROI are subtracted from the ROI projections [2]. Thus, the ROI data is able to be reconstructed, without artifacts, as if it were full-field data.

This data set comprises the highest-resolution tomographic images of in-situ multiphase flow processes within geologic materials acquired at the ANU CTLab to date.

  1. A. M. Kingston, G. R. Myers, S. J. Latham, B. Recur, H. Li, and A. P. Sheppard, “Space-Filling X-Ray Source Trajectories for Efficient Scanning in Large-Angle Cone-Beam Computed Tomography,” IEEE Transactions on Computational Imaging, vol. 4, no. 3, pp. 447–458, Sep. 2018.
  2. C. Maaß, M. Knaup, and M. Kachelrieß, “New approaches to region of interest computed tomography,” Med. Phys., vol. 38, no. 6, pp. 2868–2878, Jun. 2011.