Geostorage for CCS and Renewable Energy in Eastern Canada- North Sea Scale Opportunities
Bibliographic record
Abstract
Summary Geostorage for CCS and Renewable Energy in Eastern Canada- Lessons for the World Eastern Canada has considerable potential for Geostorage of CO2, for compressed air storage, and storage of hydrogen onshore and offshore. The storage of CO2 will reduce accumulations of CO2 in the Earth’s atmosphere and help mitigate toxic atmospheric greenhouse gas emissions. Compressed air storage and the storage of hydrogen are linked to the increased production of renewable energy, particularly through electricity generated from wind turbines. Storage is the key to make renewable electricity both dispatchable and of high quality. Dynamic simulation models of CO2 and methane were completed for outcrops of Triassic braid channels, highlighting stratigraphic and diagenetic influence on fluid flow over 120 months. A geocellular model of Mesozoic deltaic sands from offshore Nova Scotia for 10 years. Economics show that a typical Sable production well (100 BCF) would be worth more as a geostorage well for CO2, assuming greenhouse gas tax at $100/t, than as a gas well. Injection of sour (H2S) gas from the Deep Panuke operations into the Sable field prove that an effective CO2 storage system. The Margin has potential for $30 billion in revenue – with costs <$10–20 billion.
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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) | 0.001 | 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 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".