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- Data for: CO2 induced changes in Mount Simon sandstone: Understanding links to post CO2 injection monitoring, seismicity, and reservoir integrityAppendix 2: Full Ultrasonic results: Ultrasonic or dynamic moduli and material properties were calculated using these two cores in the conditions shown. Peff refers to the confining pressure, subtracted from the pore pressure. Changes in material properties are determined with respect to the before exposure values. Petrophysical parameters shown represent dynamic rather than static material properties. The rows shown are the averaged values for the dynamic Young’s Modulus, Poisson’s ratio, the shear modulus (μ), lambda (λ), Bulk Modulus, Brittleness Index, Vp/Vs, λ/μ, the number of measurements averaged (N) and the average Peff and associated standard deviation. For sample VW1-6926 pre-exposure, two cycles of Pc loading/unloading, measurements were performed at 50°C. For post exposure one cycle of loading and unloading, measurements performed at 50°C. An additional measurement of sample VW1-6926 post-exposure was completed at 24° C, which were completed after 586 days storage of the core in a desiccator (Pre50C-Post24C Percent Change). For sample VW1-6919, for both pre-exposure and post-exposure two cycles of loading/unloading, measurements were performed at 50°C. Values and the standard deviations for these values are shown before exposure (Pre50C column), after exposure (Post50C column) and after exposure measured at 22° C , which were completed after 8 days storage of the core in a desiccator (Post22C column). Following the drying procedure described in the text, the samples were stored in a desiccant chamber between the two post-exposure measurements. For sample VW1-6919 the sample was storied for 8 days between the Post50C and Post22C measurements.
- Dataset
- Data for: High-resolution analysis of life-cycle carbon emissions from China's coal-fired power industry: A provincial perspectiveThese data describe carbon emissions from various coal-fired power technologies and provincial coal-fired power industry in China.
- Dataset
- Data for: Geological carbon sequestration: Modeling mafic rock carbonation using point-source flue gasesMineral precipitation results from reaction path geochemical modeling of reacting 11 mafic rock samples from Nevada, USA with CO2 at a fixed concentration and SO2 at three concentrations. Data are all reported in moles.
- Dataset
- Data for: Simulation of CO2 Rayleigh Convection in Aqueous Solutions of NaCl, KCl, MgCl2 and CaCl2 Using Lattice Boltzmann MethodThe opj document is the detailed calculation for the velocity and the lay document is about the flow and concentration field over time.
- Dataset
- Data for: Impacts of natural CO2 leakage into freshwater aquifers on groundwater chemistry, in Hamadan Province, IranMineralogy, Chemical and isotopic data
- Dataset
- Data for: Capillary pressure characteristics of CO2-brine-sandstone systemsThis is the coreflood data we measured during the different experiments
- Dataset
- Data for: Reduction and Oxidation Behavior of Strontium Perovskites for Chemical Looping Air SeparationOxidation and Reduction curves of SrFeO3 and SrMn01Fe09O3 for 4 redox cycles at high temperatures, including a mean blank curve.
- Dataset
- Data for: Chemical-Looping Combustion in a 100 kW Unit Using a Mixture of Synthetic and Natural Oxygen Carriers - Operational Results and Fate of Biomass Fuel AlkaliAttached files contain raw data and data analysis for the 100 kW CLC pilot campaign presented in the paper.
- Dataset
- Data for: CO2 Capture using Phenoxide Salts; Alternatives to Amine-based Capture Agents, and Comparative Speciation Studies as Components in Solvent Blends.Supplementary information to accompany paper. 1H NMR data and tables of speciation for all capture agents compositions discussed.
- Dataset
- Data for: Operation of a 50-kWth Chemical Looping Combustion Test Facility Under Autothermal ConditionsThe operational data file (.hf) and three Jupyter notebooks used for analysis and plotting of the data can be found at Mendeley. The notebooks are written in Python scripting language. A copy of Jupyter Notebooks/Python can be found at https://www.anaconda.com/distribution/. A file is also attached that shows the geometry of the system and to interpret the various tags from the dataset.
- Dataset
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