UKCCSRC Flexible Funding 2020. The experimental data was collected on a 1-inch bore gas-liquid two-phase CO2 flow rig in real time. The first column of the table is the time stamp. The second to 19th columns are the mass flowrates, temperatures, densities and tube frequencies from Coriolis flowmeters installed on the gas phase section, liquid phase section, horizontal test section and vertical test section, respectively. The last column of the datafile is the reading from the differential pressure (DP) transducer installed across the Coriolis flowmeter on the horizontal test section. UKCCSRC Flexible Funding 2020: Monitoring of CO2 flow under CCS conditions through multi-modal sensing and machine learning.

This study was carried out jointly by the University of Birmingham and the British Geological Survey. The report addresses the feasibility of using novel quantum-technology-based gravity sensors to monitor underground CO2 storage. Of particular interest is the applicability to upcoming near-surface leak monitoring trials that the British Geological Survey will be conducting at its test site. UKCCSRC Flexible Funding 2021: Feasibility study into Quantum Technology based Gravity Sensing for CCS

The supporting data for C. Harris et al., 2021, 'The impact of heterogeneity on the capillary trapping of CO2 in the Captain Sandstone', International Journal of Greenhouse Gas Control. We supply experimental and numerical simulation data used in the paper. The supplied codes reproduce each figure. The codes are split into 2 folders, descriptions of each of the folders are given below: 0 - README. This contains detailed instructions on using the supplied files. 1 - Main simulations. This contains the code to produce the main CMG (Computer Modelling Group) simulations outlined in the paper, with various input variable files. 2 - Other figures. This contains the code to produce other figures within the paper which do not rely on numerical simulations, including the experimental data.

UKCCSRC Flexible Funding 2020. Experimental data are the acoustic emission (AE) signals collected with three AE sensors when CO2 leak from a CO2 storage cylinder under different pressures. '5MPa_20kgh-1' means the data was collected when the pressure was 5MPa and the leakage rate was 20 kg/h. The sampling frequency of AE signals is 3MHz. UKCCSRC Flexible Funding 2020: Monitoring of CO2 flow under CCS conditions through multi-modal sensing and machine learning.

This dataset comprises ECLIPSE input decks for a 3D reservoir simulation of the CO2 plume at the Sleipner CO2 injection site. This whole reservoir model is an attempt to history match the growth of the plume observed on seismic data. A seismic velocity and density model derived from the 3D reservoir simulation is also included, together with a series of Seismic Unix scripts to create a synthetic seismic section through the Sleipner reservoir model, for comparison with released time-lapse seismic data.

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.

The Borzęcin natural gas reservoir has been producing gas since the 1970s. The natural gas reservoir is located in the Zielona Góra basin, in the Polish part of the European Permian Basin. The reservoir is within the Rotligend sandstones and Zechstein carbonates and is capped by the Zechstein evaporites. Gas generation is proposed to be from the Carboniferous organic deposits with later migration into the Permian In May 2019, 2 wells at the Borcezin site were sampled for methane gas analyses. The following analyses were conducted: - Gas composition (C1-C5, CO2, N2, H2S, Ar) and and stable isotope analyses (methane δ13C and δD, CO2 δ13C, δ15N) - Methane clumped isotope analyses (Δ13CD and ΔDD) The dataset was created within SECURe project (Subsurface Evaluation of CCS and Unconventional Risks) - https://www.securegeoenergy.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 764531

This dataset contains: 1. An excel spreadsheet of field data from Tipperary pool, including CO2 bubble locations, raw and derived flux data, and field description. March 2017 field campaign. 2. Python scripts for two point correlation function, a spatial statistical method used to describe the spatial distribution of points, and applied to Tipperary pool CO2 bubbling points to determine geological control on their distribution. As reported in: Roberts, J.J., Leplastrier, A., Feitz, A., Bell, A., Karolyte, R., Shipton, Z.K. Structural controls on the location and distribution of CO2 leakage at a natural CO2 spring in Daylesford, Australia. IJGHGC.

Temperature reconstructions indicate that the Pliocene was ~3 degrees C warmer globally than today, and several recent reconstructions of Pliocene atmospheric CO2 indicate that it was above pre-industrial levels and similar to those likely to be seen this century. However, many of these reconstructions have been of relatively low temporal resolution, meaning that these records may have failed to capture variations associated with the 41 Kyr glacial-interglacial cycles thought to operate in the Pliocene. These data represent new, high temporal resolution alkenone carbon isotope based record of pCO2 spanning 0 to 0.2 and 2.6 to 3.3 million years ago from ODP Site 999 (supplementing our other data repository focused on 2.8 to 3.3 million years ago). Our record allows a) direct comparison of alkenone-derived pCO2 from the Pleistocene to that of the Pliocene and b) comparison of the former to the ice core record. The raw data are sea surface temperature estimates from the Uk'37 proxy, foraminiferal and alkenone d13C values, from which carbon isotope fractionation during photosynthesis (ep) can be calculated. Using nutrient concentrations (growth rate correction) and SSTs, these ep values can be converted into [CO2(aq)] which in turn can be used to calculate pCO2.

The data set encompasses the data generated through the 8 experimental runs on the 25 kWth calcium looping pilot plant at Cranfield University arranged into 8 functional Excel spreadsheets. The operational data are gathered by the acquisition with Labview software (the composition of the gas from the calciner and carbonator; temperatures of the electrical furnaces on the preheating lines and around the calciner; temperatures of the gas in the preheating lines and in the calciner) and Pico software (temperatures in the carbonator and lower loop seal and pressures in the calciner and in the carbonator). Moreover, the data from the experimental diary (inputs of gasses and solids into the rig) and the data from the post-processing of the extracted solids are included. All the data are combined into comprehensible charts that describe and explain the experimental runs together with the mass and energetic model of the system during steady state operations.