CO2
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This paper presents a flexible, highly cost- and energy-efficient method of gas separation and CO₂ capture from many different gas mixtures with a large range of CO₂ concentrations.
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This study explores the carbon-capture and mineralization potential of ultramafic rock powders when exposed to flue gases generated from combustion of crude oil and mesquite-derived charcoal.
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Plans call for the Greensand project to store 400,000 tonnes of carbon dioxide annually, with the potential to store up to 8 million tonnes annually at full capacity.
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In line with its recently released Global Outlook, the major has begun storing carbon dioxide from Nucor’s iron facility in Convent, Louisiana.
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Natural Resources Canada has awarded $4 million to Next Hydrogen and CERT Systems to advance clean hydrogen production and low-carbon sustainable aviation fuel technologies in the Greater Toronto Area.
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The Yara Sluiskil facility in the Netherlands expects to capture and liquefy 800,000 tons of carbon dioxide annually. The carbon dioxide is to be transported by Northern Lights vessels to Øygarden, Norway, where it will be stored.
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This paper describes the potential of combined-cycle technology (use of a gas turbine and a steam turbine together to turn fuel into electricity) in offshore carbon-capture applications.
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This study reviews subsurface microbial activity, biomineralization reactions, and mechanisms prevalent for bioremediating wells, stabilizing cements, and increasing trapping during CO₂ injection and storage.
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Modeling solubility trapping at reservoir scale remains a key challenge for carbon storage projects. This study introduces a novel sub-grid convective mixing model, implemented in the Open Porous Media Flow simulator and applied to the SPE11 benchmark, that enables accurate prediction of carbon dioxide dissolution trapping in geological storage using computationally e…
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Flow measurement touches almost every phase of oil and gas operations. Yet the industry still struggles to distinguish between what is directly measured, what is inferred, and what is estimated through models, correlations, or assumptions. That distinction matters. A measurement does not need to be perfect to be useful, but it must be fit for purpose.
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