Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4)

DOI

This dataset contains micro X-ray Computed Tomography (micro-XRCT) data sets (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diameter of about 5 mm and a length of 10 mm. It consists of glass beads with a diameter of about 180 µm which were sintered. For the subsequent mineralization procedure, the sample was sealed on the side with a shrink tube and glued into the center of a cylindrical, 3D-printed plastic mold using epoxy resin. For further details, see Gehring et al. (2022).

For the carbonate precipitation, the sample was put into a sample holder with three separate inlets: one for pressure measurement and two for separate injection of the urease solution (at 5 kg/m³) and the mineralization solution (containing calcium and urea at 333 mol/m³ concentrations each) and one outlet. The pressure was measured to monitor the progress of mineralization. Mineralization was carried out at 60°C to increase the reaction rates of urea hydrolysis and calcium carbonate precipitation. The reaction solutions were injected into the sample at a rate of 5 µl/s each initially using syringe pumps with a total volume of 5 ml, necessitating refilling of the syringes between injection periods. Mineralization was continued until the maximum pressure of 8 bar was reached. For this experiment, the injection rate was step-wise decreased during the course of the experiment as the maximum pressure was reached and the experiment then continued. The mineralization was carried out over the course of three days. At each following day, the mineralization was continued with the highest possible determined injection rate ≤5 µl/s each, the minimum final injection rate was 0.5 µl/s each. During the mineralization, the applied injection rates of both solutions and the measured pressure were recorded and are provided for each day as *.csv file ("Column4_highMineralization_20190926.csv", "Column4_highMineralization_20190927.csv", "Column4_highMineralization_20191030.csv").

The micro-XRCT scan data include an overview scan of the entire sample (projections_overview.tar.gz; reconstructed_overview.tar.gz), as well as a scan focused on the inlet section (projections_inlet.tar.gz; reconstructed_inlet.tar.gz), and the outlet section (projections_outlet.tar.gz; reconstructed_outlet.tar.gz). The inlet section of the sample is located at the top side of the glass beads column. Image stack counting from top to bottom.

Based on the reconstructed gray-values data set of the sample outlet ("reconstructed_outlet.tar.gz"), a segmentation ("segmentedPNGs_outlet.tar.gz") into three phases was performed: glass beads, precipitated calcium carbonate, and pore space.

For this, first, the software ilastik was used to get a distribution of the probabilities of identification of each voxel to those three phases, which were expressed as color values: red = glass beads, blue = precipitated calcium carbonate, and green = pore space.

In a second step, based on the output by ilastik ("probabilities_outlet.tar.gz"), the software Matlab (see the Matlab script "column_postprocess.m" in "segmentedPNGs_outlet.tar.gz") was used to finalize the segmentation assigning each voxel to a single-phase and to crop out an inner subvolume undisturbed by irregularities at the outer edges of the sample. The resulting binarized stacks of images of each of the phases are given: glass beads ("segmentedPNGs_outlet.tar.gz", subfolder "red_sand"), precipitated calcium carbonate ("segmentedPNGs_outlet.tar.gz", subfolder "blue_precip"), pore space ("segmentedPNGs_outlet.tar. gz", subfolder "green_void"), as well as precipitate and pore space representing the initial, unmineralized pore space, ("segmentedPNGs_outlet.tar.gz", subfolder "precip_plus_void"), in which white signifies the presence of the respective phase at the location and black absence of the respective phase.

Ruf, M. and Hommel, J. contributed equally.

Identifier
DOI https://doi.org/10.18419/darus-2907
Related Identifier https://doi.org/10.3390/min12101186
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-2907
Provenance
Creator Ruf, Matthias ORCID logo; Hommel, Johannes ORCID logo; Steeb, Holger ORCID logo
Publisher DaRUS
Contributor Steeb, Holger; University of Stuttgart, Institute of Applied Mechanics (CE) - Chair for Continuum-Mechanics; University of Stuttgart - Cluster of Excellence EXC 2075 "SimTech"
Publication Year 2022
Funding Reference DFG 357361983 ; DFG EXC 2075 - 390740016 ; DFG SFB 1313 ‐ 327154368 ; DFG 380443677
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Steeb, Holger (University of Stuttgart, Institute of Applied Mechanics (CE) & SC SimTech)
Representation
Resource Type Image data; Dataset
Format text/tab-separated-values; application/gzip
Size 537991; 458731; 469424; 8155847975; 17890304740; 15776245760; 18958864241; 26039423322; 25043338089; 22707663988; 631862294
Version 1.1
Discipline Chemistry; Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Geosciences; Natural Sciences
Spatial Coverage University of Stuttgart, Institute of Applied Mechanics (CE), Stuttgart, 70569, Germany