Comprehensive Characterization of a Potential Site for CO 2Geological Storage in Central Alberta, Canada
Bibliographic record
Abstract
Abstract Asignificant number of large CO 2emitters are located in central Alberta, Canada, including four coal-fired power plants in the Wabamun Lake area, with cumulative annual emissions in the order of 30 million metric tons CO 2. To help industry and regulatory agencies in selecting and permitting sites for CO 2storage, proper characterization is essential, covering the principal aspects of CO 2storage: capacity, injectivity, and confinement. The sedimentary succession in the Wabamun Lake area southwest of Edmonton was identified as a potential CO 2storage site because it would minimize transportation needs and costs from the large CO 2sources in the vicinity. A wealth of data on stratigraphy and lithology; fluid compositions; rock properties; and geothermal, geomechanical, and pressure regimes were used to create and characterize a comprehensive three-dimensional model of the deep saline aquifers in the area that could be CO 2storage targets. These aquifers have sufficient capacity to accept and store large volumes of supercritical CO 2at the appropriate depth and are overlain by thick confining shale units. Initial calculations and modeling of CO 2injection into the Devonian Nisku carbonate aquifer suggest that dissolution and residual saturation of CO 2limit the lateral CO 2plume spread considerably. Hypothetical injection of 12.5 million tonnes/yr of CO 2for 30 yr would result in a maximum plume spread of less than 15 km (9 mi) in diameter. However, multiple injection wells would be needed to inject this large amount of CO 2to maintain bottomhole injection pressures below the rock-fracturing threshold.
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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".