IEA GHG Weyburn-Midale CO2 monitoring and storage project–moving forward with the Final Phase
Bibliographic record
Abstract
Since the end of First Phase of the IEA GHG Weyburn CO 2 monitoring and storage research project in 2004, the leading sponsors, PTRC, and the project team have been moving forward with the Final Phase. International interest in this project has remained strong, with new industry sponsors and continued support from First Phase sponsors. This paper highlights the key activities undertaken and issues encountered during the transition period between the conclusion of the First Phase and the start of the Final Phase. A detailed overview is provided of the proposed Final Phase technical work program, progress on ongoing technical research activities and other key activities planned. The technical research program consists of four main technical themes: 1. Site Characterization-Geological Integrity 2. Wellbore Integrity 3. Storage Monitoring Methods-Geophysical & Geochemical 4. Risk Assessment. A key deliverable from this Final Phase is development of a Best Practises Manual to help guide implementation of CO 2 geological storage in conjunction with enhanced oil recovery and to provide learnings extracted from the project that are generally applicable to other geological storage projects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".