Unconfined compressive strength data for rocks from TilTil and ElTeniente mines in Chile, plus basic index tests (porosity, density) and Elastic wave velocity for selected samples. Laboratory data collected as part of NERC grant NE/W00383X/1:Geological safety and optimisation in mining operations: towards a new understanding of fracture damage, heterogeneity and anisotropy.

The images in this dataset show the mixing of two liquid solutions in a random bead pack as a function of time and in three-dimensions. The working fluids used in this study are solutions of methanol and ethylene-glycol (MEG, fluid 1) and brine (fluid 2). In particular, three mixtures of ethylene-glycol and methanol were prepared that differ in wt% ethylene-glycol, namely 55 wt% (MEG55), 57 wt% (MEG57) and 59 wt% (MEG59). Measurements are conducted using in the regime of Rayleigh numbers, Ra = 2000-5000. X-ray Computed Tomography is applied to image the spatial and temporal evolution of the solute plume non -invasively. The tomograms are used to compute macroscopic quantities including the rate of dissolution and horizontally averaged concentration profiles, and enable the visualisation of the ow patterns that arise upon mixing at a spatial resolution of about (2x2x2) mm3. We observe that the mixing process evolves systematically through three stages, starting from pure diffusion, followed by convection-dominated and shutdown. A modified diffusion equation is applied to model the convective process with an onset time of convection that compares favourably with literature data and an effective diffusion coefficient that is almost two orders of magnitude larger than the molecular diffusivity of the solute. The comparison of the experimental observations of convective mixing against their numerical counterparts of the purely diffusive scenario enables the estimation of a non-dimensional convective mass flux in terms of the Sherwood number, Sh = 0.025Ra. We observe that the latter scales linearly with Ra, in agreement with observations from both experimental and numerical studies on thermal convection over the same Ra regime.

This data is described in section 6.4 of the following paper, Three-Field Block Preconditioners for Models of Coupled Magma/Mantle Dynamics by Rhebergen et al DOI:10.1137/14099718X

These data contain time series of stress, strain, confining pressure, pore pressure, pore volume, permeability and elastic wave velocities of samples of Purbeck Limestone deformed under hydrostatic and triaxial conditions at room temperature. All samples were saturated with decane as pore fluid.This dataset is used and fully described/interpreted in the paper: Brantut, N., M. Baker, L. N. Hansen and P. Baud, Microstructural control of physical properties during deformation of porous limestone, submitted to J. Geophys. Res.

The data include the following: 1. Simulation input files (parameters used in free energy Lattice Boltzmann simulations). 2. Results from these simulations and the corresponding analysis, as presented in the manuscript "Pore scale modeling of drainage displacement patterns in association with geological sequestration of CO2". Free energy lattice Boltzmann method: A thermodynamically consistent numerical scheme to solve the hydrodynamic equations of motion, associated with two-phase flow at the pore-scale. Simulations were accelerated by using multiple general-purpose graphics processing units (GPGPUs).

Data used for the peer-reviewed manuscript entitled 'Variation of hydraulic properties due to dynamic fracture damage: Implications for fault zones' by Aben, FM, Doan, M-L, and Mitchell, TM. Manuscript currently in revision for Journal of Geophysical Research. Data consists of: Text files with the mechanical data timeseries (confining pressure, and pore volume and pore fluid pressure for two pore fluid pressure intensifiers) obtained during permeability measurements of deformed rock samples. File name contains sample number. Additional two mechanical data files (calib15 and calib18) are calibration files for the pore volume measurements. Manually traced X-ray CT images obtained on six samples.

Geochemical and petrophysical data acquired on intact and damage zone rock samples for two localities along the San Andreas Fault, Mojave section. Data used in the publication entitled "Chemically altered Pulverized granite along the Mojave section of the SAF shows evidence for large-scale heat transfer by post-seismic fluid flow and fluid overpressure at depth" by F.M Aben et al., in revision at the journal Geochemistry, Geophysics, Geosystems. Rock samples (33 samples at Lake Hughes locality, 27 at Littlerock locality) were analysed for porosity, grain- and bulk density, and chemical composition (XRF analysis). Mineral content was established from point counting on thin sections for 9 samples (Littlerock locality) and 13 samples (Lake Hughes locality). The results of these analyses are presented in this dataset. In addition, the samples were grouped in three categories: intact, damaged, and pulverized. Statistical analysis was performed on the grouped data to identify statistically significant changes between the groups. The statistical analysis results are presented here as well.

Porosity of core samples SSK111464 (sandstone) and SSK111465 (shale) calculated using backscatter electron SEM images of carbon coated thin sections processed in ImageJ Fiji software. 85 images of SSK111464 (sandstone) used and 74 images of SSK111465 (shale) at various magnifications. Core samples from UKGEOS Glasgow Observatory, borehole GGC01. Samples and data are derived from the UK Geoenergy Observatories Programme funded by the UKRI Natural Environment Research Council and delivered by the British Geological Survey.

Stress-Dependent permeability data for samples of the Glasgow Main coal and the overlying mudstone and sandstone from the UKGEOS research borehole GGC01. Associated XRD mineralogy, Helium Porosity, bulk and matrix densities are also included. Samples and data are derived from the UK Geoenergy Observatories Programme funded by the UKRI Natural Environment Research Council and delivered by the British Geological Survey.

The images in this dataset are a sample of Doddington Sandstone from a micro-computed tomography (micro-CT) scan acquired with a voxel resolution of 4.2µm. This dataset is part of a study on the effects of Voxel Resolution in a study of flow in porous media. A brief overview of this study summarised from Shah et al 2015 follows. A fundamental understanding of flow in porous media at the pore-scale is necessary to be able to upscale average displacement processes from core to reservoir scale. The study of fluid flow in porous media at the pore-scale consists of two key procedures: Imaging reconstruction of three-dimensional (3D) pore space images; and modelling such as with single and two-phase flow simulations with Lattice-Boltzmann (LB) or Pore-Network (PN) Modelling. Here we analyse pore-scale results to predict petrophysical properties such as porosity, single phase permeability and multi-phase properties at different length scales. The fundamental issue is to understand the image resolution dependency of transport properties, in order to up-scale the flow physics from pore to core scale. In this work, we use a high resolution micro-computed tomography (micro-CT) scanner to image and reconstruct three dimensional pore-scale images of five sandstones and five complex carbonates at four different voxel resolutions (4.4µm, 6.2µm, 8.3µm and 10.2µm, scanning the same physical field of view. S.M.Shah, F. Gray, J.P. Crawshaw and E.S. Boek, 2015. Micro-Computed Tomography pore-scale study of flow in porous media: Effect of Voxel Resolution. Advances in Water Resources July 2015 doi:10.1016/j.advwatres.2015.07.012 We gratefully acknowledge permission to publish and funding from the Qatar Carbonates and Carbon Storage Research Centre (QCCSRC), provided jointly by Qatar Petroleum, Shell, and Qatar Science & Technology Park. Qatar Petroleum remain copyright owner.