CO2-SPICER - CO2 Storage Pilot In a CarbonatE Reservoir: R6.4 Data set and report with results of well integrity logging
Bibliographic record
Abstract
The project partner MND has selected well ZA7 (Žarošice 7) for well integrity logging just after workover and provided on site assistance. For well integrity logging, Cement Bond Logging and Acoustic Televiewer were selected as main methods; gamma ray log and casing collar locator were used as complementary logging methods. Results of the ZA7 well (drilled in 2003) integrity logging demonstrate that after 20 year of exposure to the aggressive reservoir environment with presence of Na-Cl brine, natural gas and crude oil but also certain amounts of CO2 and H2S is still in good condition. CO2 injection will represent more aggressive environment in Zar-3 storage site. In this case, the well integrity logging has to be planned and realized relatively often; currently no legislative regulation defines a frequency of such measurement.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".