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    This UKCCSRC (UK Carbon Capture and Storage Research Centre) Call 1 project involved the development, testing and validation of a two-fluid transient flow model for simulating outflow following the failure of high pressure CO2 pipelines is presented. The project made use of experimental data and used experimental data available from other UK/EC funded projects. The model developed accounts for thermal and mechanical non-equilibrium effects during depressurisation by utilising simple constitutive relations describing inter-phase mass, heat and momentum transfer in terms of relaxation to equilibrium. Pipe wall/fluid heat exchange on the other hand is modelled by coupling the fluid model with a finite difference transient heat conduction model. This paper describes the model, the details of its numerical solution and its validation as well as parametric analysis of relevant parameters. http://www.sciencedirect.com/science/article/pii/S1750583614002394, DOI: 10.1016/j.ijggc.2014.08.013. UKCCSRC grant UKCCSRC-C1-07.

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    The partitioning coefficients of water between iron and silicate melts at 20, 50, 90 and 135 gigapascals (corresponding to 2800, 3500, 3900 and 4200 kelvin) were calculated by using ab initio molecular dynamics and thermodynamic integration techniques. The Gibbs free energy of a series of iron and silicate melts with different concentrations of H2/H2O were calculated. Then the chemical potentials of H2/H2O were derived from the concentration dependent Gibbs free energies at each pressure temperature. The partitioning coefficients can be calculated by equating the chemical potential of H2/H2O in iron and silicate melts. The Weeks-Chandler-Andersen (WCA) system with established thermodynamics was used as the reference.

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    Synchrotron X-radiography (images) and diffraction data collected to measure rheology of Quartz coesite and stishovite.

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    Synchrotron X-radiography (images) and diffraction data collected to measure anelasticity of zinc. NERC grant NE/H016309/1 - Experimental determination of mantle rheology. NERC grant NE/L006898/1 - The strength of the lower mantle.

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    This dataset contains VASP runs performed on ARCHER to calculate the electrical and thermal conductivities of pure iron and iron alloys at Earth's core conditions using density functional theory with the Kubo-Greenwood formulation. Data are available for both the solid and the liquid phase characterising the inner and outer core respectively. Also included in the dataset the runs for computing the lattice contribution to the electrical resistivity of magnetic bcc iron at ambient pressure and two low temperatures and for computing the melting curve of fcc nickel. These data were also used for the modelling of the geodynamo and the thermal history of the Earth, to calculate the transport properties for silicon-oxygen-iron mixtures and to confirm the saturation of electrical resistivity of solid iron at Earth’s core conditions. The results from this dataset showed that both conductivities are much larger than previously thought with important implications for the geodynamo and the thermal history of the Earth, benefitting the geodynamo community. The results of our research have been recently confirmed by new experimental results obtained at Earth's core conditions. Further details can be found in Alfè et al. (2012); Pozzo et al. (2012, 2013a, 2013b, 2014, 2016); Gubbins et al. (2015); Davies et al. (2015). NERC Grant is NE/H02462X/1.

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    This poster on the UKCCSRC Call 2 project, The Development and Demonstration of Best Practice Guidelines for the Safe Start-up Injection of CO2 into Depleted Gas Fields, was presented at the Cranfield Biannual, 21.04.15. Grant number: UKCCSRC-C2-183.

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    The aim of this proposal is to develop and validate a multi-phase flow model for simulating the highly transient flow phenomena taking place in the well-bore during start-up injection of CO2 mixtures into depleted gas fields. The objectives are to: 1.demonstrate the usefulness of the model developed based on its application to a real system as a test case; 2.use the findings in (1) to propose optimum injection strategies and develop Best Practice Guidelines for minimising the risks associated with the start-up injection of CO2 into depleted gas reservoirs. Grant number: UKCCSRC-C2-183.

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    Monthly anomalies (August 2002 to July 2016) of total terrestrial water storage (TWS), soil moisture storage (SMS), surface water storage (SWS), snow water storage (SNS), groundwater storage (GWS) derived from an ensemble mean of 3 gridded GRACE products (CSR, JPL-Mascons and GRGS) and an ensemble mean 4 land surface models (CLM, NOAH, VIC and MOSAIC), provided by the NASA’s Global Land Data Assimilation System (GLDAS). Monthly precipitation (CRU) data, derived from the Climatic Research Unit (CRU), were aggregated over each aquifer system. GRACE, GLDAS and CRU datasets are publicly available at the global scale. (NERC grant NE/M008932/1)

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    These data contain time series of stress, strain, confining pressure, elastic wave velocities of samples of Vermont antigorite and Westerly granite deformed under hydrostatic and triaxial conditions at room temperature and dry conditions. This dataset is used and fully described/interpreted in the paper: David, E.C., N. Brantut, L.N. Hansen and T.M. Mitchell, Absence of stress-induced anisotropy during brittle deformation in antigorite serpentinite, submitted to J. Geophys. Res.

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    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.