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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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    This project will develop and experimentally validate a heterogeneous flow model for predicting the transient depressurisation and outflow following the puncture of dense phase CO2 pipelines containing typical impurities. Such data is expected to serve as the source term for the quantitative consequence failure assessment of CO2 pipelines including near field and far field dispersion, fracture propagation and blowdown. Grant number: UKCCSRC-C1-07. UKCCSRC - UK Carbon Capture and Storage Research Centre.

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    This presentation on the UKCCSRC (UK Carbon Capture and Storage Research Centre) Call 1 project, Multi-Phase Flow Modelling for Hazardous Assessment, was presented at the Cranfield Biannual, 22.04.15. Grant number: UKCCSRC-C1-07.

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    This is a blog (Final, 18.11.14) on the UKCCSRC (UK Carbon Capture and Storage Research Centre) Call 1 project, Multi-Phase Flow Modelling for Hazardous Assessment. Grant number: UKCCSRC-C1-07.

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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 Cardiff Biannual, 10.09.14. Grant number: UKCCSRC-C2-183.

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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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    2 published papers from NERC grant NE/G016879/1. Palaeosol Control of Arsenic Pollution:The Bengal Basin in West Bengal, India by by U. Ghosal, P.K. Sikdar, and J.M. McArthur. Tracing recharge to aquifers beneath an Asian megacity with Cl/Br and stable isotopes: the example of Dhaka, Bangladesh by M. A. Hoque, J. M. McArthur, P. K. Sikdar, J. D. Ball and T. N. Molla (DOI 10.1007/s10040-014-1155-8)

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    This poster on the UKCCSRC Call 1 project Multiphase flow modelling for hazard assessment of dense phase CO2 pipelines containing impurities was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C1-07. The aim of the project is to develop and validate experimentally a heterogeneous flow model for predicting the transient depressurisation and outflow following the puncture of dense-phase CO2 pipelines containing typical impurities. Given that CO2 is an asphyxiant at high concentrations, this information is pivotal to assessing all the hazard consequences associated with CO2 pipeline failure, including fracture propagation behaviour, atmospheric dispersion, emergency shutdown valve dynamics and emergency blowdown.

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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 CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-183. Highly-depleted gas fields represent prime potential targets for large-scale storage of captured CO2 emitted from industrial sources and fossil-fuel power plants. Given the potentially low reservoir pressures as well as the unique thermodynamic properties of CO2, especially in the presence of the various stream impurities, the injection process presents significant safety and operational challenges. In particular, the start-up injection leads to the following risks: • blockage due to hydrate and ice formation following the contact of the cold CO2 with the interstitial water around the wellbore; • thermal stress shocking of the wellbore casing steel, leading to its fracture and ultimately escape of CO2; • over-pressurisation accompanied by CO2 backflow into the injection system due to the violent evaporation of the superheated liquid CO2 upon entry into the wellbore.

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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.