2012
DOI: 10.1016/j.ijggc.2012.04.010
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Mass transfer processes of a hydrate-covered deep CO2 lake

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Cited by 3 publications
(3 citation statements)
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“…Figure 6 shows an approximately linear relationship between the calculated masstransfer coefficient and the velocity of water flow. The CO 2 mass transfer coefficient at the W/H interface in the flow velocity ranges of 0−0.1 m/s can be expressed as K g,w = 6 × 10 −5 u x + 2.21 × 10 −6 , agreeing well with the measured results of about 8.6 × 10 −7 −3.2 × 10 −5 m/s reported by Gust et al 43 The solubility of carbon dioxide in liquid water in the presence and absence of hydrates can be determined by the widely accepted thermodynamics-based prediction method of CSMGem. 44 As for other parameters related to hydrate pore property, we refer to the measured and simulated values provided by Mori and Mochizuki, 22 Turner et al, 24 and Sun et al 30 Substituting the above characteristic parameters and experimental data from Abe et al 42 into eq 21, the pore updating efficiency (γ con ) at different flow velocities can be estimated.…”
Section: Determination Of Key Parameters In the Modelsupporting
confidence: 89%
“…Figure 6 shows an approximately linear relationship between the calculated masstransfer coefficient and the velocity of water flow. The CO 2 mass transfer coefficient at the W/H interface in the flow velocity ranges of 0−0.1 m/s can be expressed as K g,w = 6 × 10 −5 u x + 2.21 × 10 −6 , agreeing well with the measured results of about 8.6 × 10 −7 −3.2 × 10 −5 m/s reported by Gust et al 43 The solubility of carbon dioxide in liquid water in the presence and absence of hydrates can be determined by the widely accepted thermodynamics-based prediction method of CSMGem. 44 As for other parameters related to hydrate pore property, we refer to the measured and simulated values provided by Mori and Mochizuki, 22 Turner et al, 24 and Sun et al 30 Substituting the above characteristic parameters and experimental data from Abe et al 42 into eq 21, the pore updating efficiency (γ con ) at different flow velocities can be estimated.…”
Section: Determination Of Key Parameters In the Modelsupporting
confidence: 89%
“…Droplet size distributions in subsea oil jets were measured in an adapted high-pressure test rig within a 99-L steel autoclave which was applied to generate the deep-sea conditions for the experiments. To carry out the experiments, an existing test rig was transformed from a mobile, mostly manually operated lab placed inside a 20-ft. container into a stationary research facility with fully automated control systems (see Supporting Information S-1).…”
Section: Methodsmentioning
confidence: 99%
“…To quantify the effects of dissolved gases on the droplet size distribution, experiments with downscaled hydrocarbon blowouts under artificial deep-sea conditions (150 bar hydrostatic pressure) were performed in a laboratory environment based on a test rig by Gust et al Jets of purely liquid oils were compared to jets where the oil has been previously saturated with methane. This setup is analogous to the concept of “live” and “dead” oil as presented by Ahmed where “live oil” describes a crude oil as it exists in the reservoir, i.e.…”
Section: Introductionmentioning
confidence: 99%