The use of synthetic samples for rock physics experiments in the lab is a common practice for reservoir characterization and reservoir studies. This dataset gather ultrasonic P- and S-wave velocities and attenuations, electrical resistivity, axial and radial strains, permeability and mineralogical composition, of two synthetic and two natural sandstones, measured at variable realistic reservoir conditions of stress. The data were collected during an original study which aimed to assess the extent to which the measured properties between synthetic and natural sandstones are comparable. The work was accepted for publication in Geophysical Prospecting on the 01/10/2018, which can be accessed following the link: https://doi.org/10.1111/1365-2478.12699 Falcon-Suarez, I.H., Amalokwu, K., Robert, K., North, L., Best, A.I., Delgado-Martin, J., Callow, B., Sahoo, S.K. (accepted). Comparison of stress dependent geophysical, hydraulic and mechanical properties of synthetic and natural sandstones for reservoir characterisation and monitoring studies. Geophysical Prospecting

A continuous four-year record of physicochemical properties of soils deglaciated in the last century due to the retreat of Midtre Lovénbreen (ML) glacier in the vicinity of Ny-Ålesund, Svalbard. Below ground data are accompanied by an over ground three-year (2022-2024) photographic record aimed at capturing snow depth levels during the transition seasons between Arctic summer and winter (NET0105681_SUNSPEARS_Photographic data). This dataset aids our understanding of deglaciated soil evolution in the current rapidly changing Arctic landscape. At four locations (reported in NET0105681_SUNSPEARS_GPS data) along the ML glacier forefield, in October 2020, soil in four different stages of development, depending on time elapsed since deglaciation, was sampled. Samples were processed in the laboratory in order to determine their texture (results reported in NET0105681_SUNSPEARS_Particle Size Analysis data) and X-ray CT scanned in order to determine their internal structure (CT reconstructed images reported in NET0105681_SUNSPEARS_Computed Tomography data). At two of the four sampling locations (SUN1 and SUN2), geophysical monitoring stations were installed, which use an array of sensors to continuously measure soil electrical resistivity in 3D (NET0105681_SUNSPEARS_PRIME 3D ERT data). Raw electrical resistivity data, instrument health data and corresponding reconstructed 3D electrical resistivity profile images (and timelapse videos) of the subsurface are included. Topographic surveys of all the sensors operated by the monitoring stations are included. In the vicinity of the two geophysical monitoring stations, longer and deeper electrical resistivity profiles were acquired. These allow one to image the boundary between the active layer (that freezes and thaws depending on ambient temperature) and underlying permanently frozen ground. Raw electrical resistivity data and corresponding reconstructed 2D electrical resistivity profile images of the subsurface are included (NET0105681_SUNSPEARS_PRIME 2D ERT data).

These files contain Electric Resistivity Ground Imaging (ERGI) data measured using a Tigre 128 electric resistivity system with 64 electrodes in a roll-along survey mode. The electrodes were spaced 5 m apart and used in a Wenner a array configuration. The format of the file names is as follows: The two digits following B (18 or 20) is a label indicating the measurement site The digit following the T (1, 2 or 3) is the measurement transect number The next six digits, following the underscore, are the measurement date (ddmmyy) The next two digits, following the second underscore, are the survey number (measurements were repeated multiple times) The files are in tab delimited ascii text format, with three columns of data: Column 1 contains the distance measured across the survey transect Column 2 contains the a-spacing (the distance between adjacent electrode pairs) in m Column 3 contains the measured apparent resistivity value in Ohm m

Here we present the dataset collected during a CO2 flow-through test using a synthetic sandstone of high porosity and permeability, originally saturated with high salinity brine, performed under realistic shallow reservoir conditions stress. During the test, we collect geophysical data (elastic and electrical properties) which record petrophysical variations in the rock related to the precipitation of salt, induced by a continuous CO2 flow through the sample.

EPSRC project EP/K035878/1 - Report summarising scientific findings from Work Packages 1 to 4 of the DiSECCS project. These include advanced seismic methods for assessing pressure changes and fluid flow processes in a reservoir rock, experimental rock physics and public perceptions for CCS and analogue activities.

The dataset is a Soil Corrosivity Map for the U.K. based on the BGS DIGMapGB-PLUS Map. The creation of this dataset involves scoring the Soil Parent Material types for five different attributes that contribute towards the corrosion of underground assets. These are (i) high or low soil pH, (ii) general soil moisture, (iii) the likelihood that soil saturated and undergo periods of anaerobic conditions, (iv) the presence of sulphides and sulphates and (v) the resistivity of the soil parent material. The scoring of each of these parameters was undertaken based on the Cast Iron Pipe Association (CIPA) (now the Ductile Iron Pipe Research Association, DIPRA) rating system. By combining the scores of each parameter a GIS layer has been created that identifies those areas that may provide a corrosive environment to underground cast iron assets. The final map has been classified into three categories signifying: 'GROUND CONDITIONS BENEATH TOPSOIL ARE UNLIKELY TO CAUSE CORROSION OF IRON', 'GROUND CONDITIONS BENEATH TOPSOIL MAY CAUSE CORROSION TO IRON', 'GROUND CONDITIONS BENEATH TOPSOIL ARE LIKELY TO CAUSE CORROSION TO IRON'. The dataset is designed to aid engineers and planners in the management of and maintenance of underground ferrous assets.

Physical properties of four serpentinite and four gabbro samples acquired respectively at the Southern Wall (IODP leg 357) and at the Central Dome (IODP leg 304-305) of the Atlantis Massif have been measured and analysed in the frame of a NERC UK-IODP moratorium research. The physical property measurements included simultaneous ultra-sonic wave velocities (compressional and shear wave velocities), attenuation, electrical resistivity and permeability under increasing and decreasing effective pressure ranging between 5 and 45 Mpa. Measurements were carried out using the experimental physical property measurement rig of the rock Physics laboratory of the National Oceanography Centre, Southampton, UK. The porosity and the density of the samples were estimated using their wet dry weight difference and the volume of the samples, under atmospheric pressure and room temperature. The aim of this research project was to learn about the physical properties of oceanic lower crustal and upper-mantle rocks and to find a geophysical method that would allow to distinguish between these rocks, remotely. The dataset has been acquired and interpreted by a science party including researchers from the University of Southampton and the National Oceanography Centre. The ultrasonic wave velocities, attenuation and the electrical resistivity for each sample and for each effective pressure (increasing from 5 to 45 with an interval of 10 MPa and decreasing from 45 to 5 with an interval of 20 MPa) are reported in this dataset. Permeability measurements could have been carried out only on 6 samples for which the permeability was high enough to be measured with the experimental rig.

Report summarising the contents of the seismic analysis toolbox produced during the DiSECCS project. The toolbox comprises an online library of seismic software developed and utilised in the project, and presented in a form that other practitioners can utilise and tailor to their own specific needs. The toolbox include software for the measurement and characterisation of thin CO2 layers by spectral and attenuation analysis, fracture characterisation via wavelet coda analysis, novel rock physics algorithms and a summary of new laboratory analyses.

EPSRC project EP/K035878/1 - DiSECCS research has focussed on developing advanced seismic monitoring tools and combining these with social science research to identify key factors in establishing trust and confidence in the storage system.This report presents insights into and recommendations for the monitoring systems and protocols required to maintain the integrity of storage reservoirs suitable for large-scale CO2 storage and for obtaining a social licence to operate a CCS project.

NERC grant NE/R013535/1. Here we present the dataset collected during a brine-CO2 flow-through test using a synthetic sandstone with oblique fractures, performed under realistic reservoir conditions stress. We monitored geophysical, mechanical and transport properties, for drainage and imbibition conditions, representative of the injection and post-injection stages of the CO2 storage process. We collected ultrasonic P- and S-wave velocities and their respective attenuation factors, axial and radial strains, electrical resistivity, pore pressure, temperature and brine and CO2 partial flows (from which relative permeability was later calculated).