Analytical modelling of CO2 sequestration in saline aquifers
Bibliographic record
Abstract
© Canadian International Petroleum Conference 2004, CIPC 2004.All Rights Reserved.A modeling of CO2 sequestration in aquifers from an analytical point of view was studied. The driving force behind this work is based on a description of a model that analyzes the mechanisms of supercritical CO2 disposal in aquifers. The CO2 presence was analyzed from two different aspects, as gas bubble formation and as dissolution in brine. In our model, for the determination of the pressure distribution in the gas bubble, a constant injection rate was taken into consideration. With the formation of the gas bubble, the gravitational effects cause the CO2 to raise and accumulate under the caprock. For this accumulation process a maximum bubble thickness was determined to avoid leakage through the fractures in the caprock. For the CO2 that is in the dissolved phase in the aquifer, the salinity calculations were taken into consideration. One effect of salinity was that it causes an increase in brine viscosity resulting in a decrease in sweep efficiency.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".