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These images were acquired using micro computed tomographic imaging of 7 sandstone plugs taken at various depths in the Sellafield borehole 13B. SF696 (63.8 m), SF697 (76.1 m), SF698 (96.98 m), SF699 (126.27 m), SF700 (144.03 m), SF701 (172.16 m) and SF702 (181.39 m). These samples are further detailed and analysed in the following article: http://dx.doi.org/10.1144/petgeo2020-092
X-ray micro-tomography datasets of Ketton carbonate obtained at 5MPa and 323K - (a) Dry micro-core (b) Hydrochloric acid reacted micro-core
The datasets contains two sets of three dimensional images of Ketton carbonate core of size 5 mm in diameter and 11 mm in length scanned at 7.97µm voxel resolution using Versa XRM-500 X-ray Microscope. The first set includes 3D dataset of dry (reference) Ketton carbonate. The second set includes 3D dataset of reacted Ketton carbonate using hydrochloric acid.
Atomic Force Microscopy images of surface nanobubbles on the carbonate mineral dolomite (NERC grant NE/M011429/1)
Non-contact Atomic Force Microscopy images (NC-AFM) of surface nanobubbles on the carbonate mineral dolomite. Since surface nanobubbles were first imaged in 2000, they have been of growing interest to research due to their long lived properties, with reported lifetimes as long as several hours. Images of nanobubbles were produced under water, collector and depressant conditions using the air water supersaturation method. These are the first images of surface nanobubbles on dolomite. Surface nanobubbles could play a part in the processing of dolomite via froth flotation. These images lay a foundation for future analysis of the effect of nanobubbles in flotation.
These images were acquired using micro computed tomographic imaging of 4 sandstone plugs taken at various depths in the Glasgow UKGEOS borehole GGC01. GG496 (170.07 m), GG497 (168.66 m), GG498 (73.37 m) and GG499 (135.06 m). These samples are further detailed and analysed in the following article: http://dx.doi.org/10.1144/petgeo2020-092.
3D X-ray tomography scans of analogues for magmatic mushes with different particle geometries (NERC Grant NE/M018687/2)
Each of this set of 3D X-ray tomography datasets show a particle “bead pack” developed as a magmatic mush analogues but of use to anyone investigating non-spherical systems. The stack of tiff images in each 3D dataset show either cuboid, rod and disc/plate like particles as well as irregular shapes and mixtures of these. The data were used to measure packing geometries, contact areas, and pore volumes, surface areas and connectivity, and perform permeability simulation used to develop advanced porosity-permeability relationships for any bead packing geometry. The data were collected on a Nikon XCT scanner with the exact imaging condition for each scan presented in the txt settings file in each folder (including x-ray energy, flux and resolution information). The data may be of use to those developing advanced finite element, discrete element or flow models in complex packed beds.
The datasets contain 5 stitched X-ray micro-tomographic images (grey-scale, doped, difference, segmented porespace and segmented micro-porespace with porespace) and 3 X-ray nano-tomographic images of a region of microporous porespace in Estaillades Limestone. The x-ray tomographic images were acquired at a voxel-resolution of 3.9676 µm using a Zeiss Versa XRM-510 flat-panel detector at 70 kV, 6W, and 85 µA with an exposure time of 0.037s and 64 frames. The X-ray nano-tomographic images were reconstructed using a proprietary filtered back projection algorithm from a set of 1601 projections, collected with the Zeiss Ultra 810 with 32nm voxel size using a 5.4keV energy quasi-monochromatic beam with an exposure time of 90s. The data was collected at Imperial College London and Zeiss Labs with the aim of investigating pore-scale microporosity in carbonates with a heterogenous pore structure. Understanding the effect of microporosity on flow is important in many natural and industrial processes such as contaminant transport, and geo-sequestration of supercritical CO2 to address global warming. These tomographic images can be used for validating various pore-scale flow models such as direct simulations, pore-network and neural network models for upscaling flow across scales.