10+ years of the IEA-GHG Weyburn-Midale CO2 monitoring and storage project: Successes and lessons learned from multiple hydrogeological investigations
Bibliographic record
Abstract
In July 2000, the IEA-GHG Weyburn CO2 monitoring and storage project was initiated to study the geological storage of CO2 as part of an EOR project planned for the Weyburn Field in Saskatchewan, Canada. Over the period 2000-present, a diverse group of researchers have worked on: assessing the integrity of the geosphere encompassing the Weyburn oil pool for effective long-term storage of CO2; monitoring the movement of the injected CO2, and assessing the risk of migration of CO2 from the injection zone to the surface. Learnings from 10+ years of hydrogeological investigations include: (i) low flow rates and favourable flow directions indicate the Weyburn reservoir is an excellent place to store CO2; (ii) shallow groundwater monitoring reveals no significant changes in water chemistry that can be attributed to storage operations (interactions); and (iii) co-ordination and integration of multiple hydrogeological research programs on the same site can be rewarding but challenging.
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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 | 0.022 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".