<i>Ex Situ</i> Dissolution of CO<sub>2</sub>: A New Engineering Methodology Based on Mass-Transfer Perspective for Enhancement of CO<sub>2</sub> Sequestration
Bibliographic record
Abstract
A new methodology is proposed for the acceleration of CO 2 dissolution to lower the risk of CO 2 leakage for carbon capture and storage (CCS) technology. It is called ex situ dissolution because CO 2 is being dissolved at a surface before it is injected underground. This new approach reduces or eliminates possible leakage of CO 2 from underground formation. To achieve full underground dissolution of injected pure supercritical CO 2 or gaseous CO 2 may take thousands of years because of the absence of strong mixing (convective-diffusion dominated processes). Dissolving CO 2 in brine before injection significantly increases the security of geological sequestration. The mass transfer from CO 2 droplets into brine during cocurrent (CO 2 –brine) horizontal pipe flow is studied mathematically to investigate the effectiveness of the proposed method. The dissolution rate of the CO 2 droplets is correlated to the variation of mean droplet diameter versus time, because the mass transfer causes shrinkage of the droplets. Empirical correlations based on Sherwood numbers were employed in the example for calculation of mass-transfer coefficients for droplets of CO 2 in the fluid flowing through a pipe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".