Injectivity of carbon dioxide in the St. Lawrence Platform, Quebec (Canada): A sensitivity study
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Bibliographic record
Abstract
Abstract Injectivity of CO 2 in the Bécancour deep saline aquifers, St. Lawrence Platform (Québec), was investigated using 2D radial numerical simulations with TOUGH2/ECO2N. In order to have an appropriate choice for the CO 2 injection rate and the duration of injection, sensitivity analyses were carried out, considering different values of hydrodynamic, chemical‐petrophysical, and geometric parameters affecting CO 2 injection in a brine reservoir. The parameterization analysis for capillary pressure and relative permeability models indicated large uncertainty for this case study. Simulations took into account Bécancour reservoir conditions in which the maximum pressure was limited to the fracturing pressure. The sensitivity analysis provides guidance on potential injection scenarios. To remain below fracturing pressure, intermittent 5‐year injection periods can be used, with a mass injection rate up to ∼ 20 kg/s, alternating with half‐year periods without injection. This scenario could give maximum CO 2 storage in the aquifer. CO 2 storage capacities in different phases were calculated versus time. This study shows that the northeastern reservoir block of the Bécancour area could host about 10 Mt CO 2 , which represents 15% to 50% of regional yearly CO 2 emissions during about 60 and 20 years for the case of the injection formation permeability of 0.89 × 10 −15 m 2 and 4.17 × 10 −15 m 2 , respectively. Finally, this modeling study will also be the basis for the design of a pilot CO 2 injection test at the study site. © 2013 Society of Chemical Industry and John Wiley & Sons, Ltd
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it