Web site: www.ags.gov.ab.ca Suitability of the Alberta Subsurface for Carbon-Dioxide Sequestration in Geological Media
Bibliographic record
Abstract
Executive Summary Sequestration of anthropogenic CO2 in geological media is a potential solution to the release into the atmosphere of CO2, a greenhouse gas. Basically, there are five ways of sequestering CO2 in geological media: 1) through enhanced oil recovery (EOR), 2) storage in depleted oil and gas reservoirs, 3) replacement of methane by CO2 in deep coal beds (ECBMR), 4) injection into deep saline aquifers, and 5) storage in salt caverns. Criteria in assessing the suitability of a sedimentary basin for CO2 sequestration are 1) tectonism and geology, 2) the flow of formation waters, and 3) the existence of storage media (hydrocarbon reservoirs, coal seams, deep aquifers, and salt structures). Because of CO2 properties, identification of the depths of the 31.1ºC isotherm and the 7.38 MPa isobar is essential in establishing if CO2 could be sequestered as a gas, as a liquid, or in a supercritical state. Alberta’s subsurface is tectonically stable. The geology of the undeformed part of the Alberta Basin underlying most of Alberta is very favourable for CO2 sequestration due to its layer-cake structure and the existence of confined regional-scale aquifers, oil and gas reservoirs in various stages of depletion, uneconomic coal seams, and extensive salt beds. There are six regions in
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.459 | 0.175 |
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".