Modelling of ex situ dissolution for CO<sub>2</sub> sequestration
Bibliographic record
Abstract
In this paper, a model for diffusion-controlled dissolution of carbon dioxide (CO 2 ) droplets is presented. This model is applied to a system of co-current turbulent horizontal pipe flow of carbon dioxide–brine mixture in order to determine the feasibility of dissolving carbon dioxide within the pipe before injecting underground. Depending on the droplet size, there are two regimes of dissolution within the pipe: turbulent for large droplet size and laminar (pure diffusion) for smaller sizes. Since the droplet (while dissolving and therefore shrinking in size) may undergo both regimes, the droplet size at which it transitions from turbulent to diffusion-controlled dissolution is estimated and used to find the total time spent in diffusion-controlled dissolution regime. It was observed that diffusive dissolution is of similar order of magnitude to turbulent dissolution, and so both mechanisms must be taken into account in the evaluation of the total dissolution time. This diffusive dissolution time should be combined with the time spent in the turbulent regime to determine time pipe lengths required for complete dissolution of carbon dioxide droplets.
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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) | 0.001 | 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".