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    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.

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    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.

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    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.

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    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.

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    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.

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    This Microsoft Excel document contains 8 worksheets providing data produced by research as part of EPSRC Grant #EP/K036033/1. These data are presented and discussed in the manuscript "The Inherent Tracer Fingerprint of Captured CO2." by Flude, S. Györe, D., Stuart, F.M., Zurakowska, M., Boyce, A.J., Haszeldine, S., Chalaturnyk, R., and Gilfillan, S. M. V. (Currently under review at IJGGC). Data include samples collected, gas concentrations, stable isotope data and noble gas data. This data relates to publication https://doi.org/10.1016/j.ijggc.2017.08.010.

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    A selection of abstracts and posters presented at international conferences as part of EPSRC Grant #EP/K036033/1.

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    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.

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    Late (0-250 ka) and middle (1050-1280 ka) Pleistocene boron isotope data from planktic foraminifera (Globigerinoides ruber) and oxygen isotopes data from benthic formainifera (Cibicidoides wuellerstorfi). Boron isotopes measured using multi-collector inductively coupled plasma mass-spectrometry (MC-ICPMS).

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    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.