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Data derived from NERC Grant NE/N001621/1. Geographical Area - DSDP/ODP/IODP Sites 516, 1138, 925, 242, 1338, 871, 872
Carbon capture and storage is a mitigation strategy that can be used to aid the reduction of anthropogenic CO2 emissions. This process aims to capture CO2 from large point-source emitters and transport it to a long-term storage site. For much of Europe, these deep storage sites are anticipated to be sited below the sea bed on continental shelves. A key operational requirement is an understanding of best practice of monitoring for potential leakage and of the environmental impact that could result from a diffusive leak from a storage complex. Here we describe a controlled CO2 release experiment beneath the seabed, which overcomes the limitations of laboratory simulations and natural analogues. The complex processes involved in setting up the experimental facility and ensuring its successful operation are discussed, including site selection, permissions, communications and facility construction. The experimental design and observational strategy are reviewed with respect to scientific outcomes along with lessons learnt in order to facilitate any similar future. This is a publication in QICS Special Issue - International Journal of Greenhouse Gas Control, Peter Taylor et. al. Doi:10.1016/j.ijggc.2014.09.007.
Sample locations and geochemical data from the Aurora Ni-Cu-PGE magmatic sulphide deposit, Northern Bushveld Complex, South Africa. Samples were taken from two boreholes on the La Pucella farm, courtesy of Pan Palladium Limited. This data contains petrological photographs; scanning electron microscope element maps and identification of platinum group minerals and precious metal minerals; and trace element concentration of ore minerals. This data was collected as part of the TeaSe consortium NERC grant in order to determine the concentration and hosting of critical and precious metals in various types of ore deposits and barren rocks from different geological environments. This data was collected and interpreted by researchers at Cardiff University and is used in a paper, available at https://doi.org/10.1016/j.oregeorev.2019.02.008.
This presentation on the UKCCSRC Call 1 project, Flexible CCS Network Development, was presented at the Workshop1ES, 30.04.14. Grant number: UKCCSRC-C1-40.
Count data (original counts and percentage abundances) from nannofossil assemblage analysis of Early Miocene samples. These form the prime data for a paper submitted to Palaeogeography, Palaeoclimatology, Palaeoecology (Young et al. submitted, 2019).
This dataset is used and fully described/interpreted in the paper: Passelegue, F. X., N. Brantut, T. M. Mitchell, Fault reactivation by fluid injection: Controls from stress state and injection rate, submitted to Geophys. Res. Lett. Text files contain raw and processed data. Mechanical data are raw. Load needs to corrected (offset) from piston friction, measured at the beginning of each run before the hit point. Axial displacement is converted into sample shortening by correcting the load from machine stiffness, which is equal to 480 kN/mm (calibrated on Mon. 14 Mar. 2016). Data include a set of elastic wave first arrival times, obtained from time of flight measurements using an array of piezoelectric transducers and the cross-correlation method detailed in Brantut (2015) (see reference above). Two separate files correspond to mechanical data from experiments conducted at 50 and 100 MPa confining pressure (""mech_Pc=???MPa.txt""). One file (""sensors.txt"") contains the initial positions of each piezoelectric transducer. Files named ""wave_?_Pc=100MPa.txt"" (?=1,2,3 or 4) contain time series of arrival times during the four injections conducted at Pc=100MPa. Each column consists in the time-of-flight between a given pair of sensors (x->y, where x is the index of source sensor, and y is the index of the receiver sensor, as per their numbering in the ""sensors.txt"" file.) In all the data files, the first column corresponds to a common time basis, in seconds.
We provide here Pb isotope data for the basement rocks cored during IODP Expedition 352 (Bonin Forearc). The data are reported as 206Pb/204Pb, 207Pb/204Pb and 208Pb/204Pb ratios together with their errors. The overall accuracy of the data was determined using international standard NBS SRM 981. Values for this standard achieved during the measurement period were 206Pb/204Pb = 16.9404 ±32,207Pb/204Pb = 15.4969 ±32, 208Pb/204Pb = 36.7149 ±90 (2sd; n=44). The data are separated into four parts one for each drill site that cored basement. Sites 1440B and 1441A both sampled a basalt type known as FAB (Forearc Basalts), whereas Sites 1439C and 1442A both sampled boninites (Mg-rich andesites). Both rock types are typical of the forearc setting and contain information needed to understand the process of subduction initiation. A summary of the Expedition, and hence the petrography and setting of the samples as well as the various scientific objectives for the project to which these analyses contribute) may be found in: Reagan, M.K., Pearce, J.A., and Petronotis, K., Expedition Scientists, 2015, Izu-Bonin-Mariana Fore Arc: Proceedings of the International Ocean Discovery Program, 352. International Ocean Discovery Program, http://dx.doi.org/10.14379/iodp.proc.352.2015.
This is a thin-sheet model of the regional geoelectric field covering the UK and Ireland, which is a combination of the response of the ground conductivity in a region with the spatial and temporal measurements of the rate of change of the horizontal components of the magnetic field. Output from the BGS Space Weather Impact on Ground-based Systems (SWIGS)
IDA267644 Methane and CO2 gas concentrations and stable isotope analyses of select core samples from GGC01 borehole of the Glasgow UKGEOS facility. Core samples were collected approximately every 10m depth in gas tight isojars by the BGS. Geochemical gas analyses was carried out at the Scottish Universities Environmental Research Centre (SUERC) and consisted of bulk concentration analysis using gas chromatography; followed by δ13CCH4, δ13CCO2, and δD stable isotope analyses on a methane combustion line (full methods attached). This data was collected to investigate the variability of gas fingerprints with depth within the Glasgow coal mine workings, and unmined Carboniferous coal measures. 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 6.4µm. 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 (4.4ìm, 6.2ìm, 8.3ìm and 10.2ìm, 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 owners