Geological Potential for Sequestration of CO2 as Gas Hydrate in the Alberta Portion of the Western Canada Sedimentary Basin
Bibliographic record
Abstract
Abstract The Alberta portion of the WCSB has been investigated with respect to the geological potential for the sequestration of CO2 as a metastable, solid crystalline gas hydrate. Based on a coarse-resolution (1 km2) geothermal analysis and industry borehole data, the areas north of Cold Lake and south/southwest of Fort McMurray have been identified as having pressure-temperature (P-T) conditions favourable to the formation and maintenance of CO2 hydrate at target injection intervals of 300-400 m depth. It is estimated that the gross amount of CO2 that could be sequestered as gas hydrate in Alberta is approximately 46 Gt. The presence of a substantial overburden provides an effective buffer against the propagation of anticipated warmer surface temperatures (due to progressive climate warming) into the ground at depth. Numerical modeling predicts a time frame of between 1000-2000 years for a 3°C change in surface air temperature to effect an increase in ground temperature of 1°C at 300 m depth. This preliminary regional assessment offers a potential new strategy for the geological sequestration of CO2 in Canada, however considerable additional work is required to advance this idea from concept to practice. Specifically, the acquisition of more reliable ground temperature data and local geothermal gradients, pore water geochemistry, porosity and permeability would be a pre-requisite to the implementation of a small-scale demonstration project in a readily accessible region of northeastern Alberta.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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 source (direct Gemma or distilled Codex), 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".