Time-lapse attenuation variations during CO2 injection using DAS VSP data from the CaMI Field Research Station, Alberta, Canada
Bibliographic record
Abstract
For seismic monitoring injected CO2 during geologic CO2 sequestration, it is useful to measure time-lapse variations of seismic attenuation. Seismic attenuation directly connects to different petrophysical parameters of a CO2 storage reservoir. We have used an approach for measuring attenuation by iteratively identifying sparse strongest reflections in the seismic trace and stacking their waveforms. This method is straightforward and requires no sophisticated inverse algorithm. It is data-driven and applied to distributed acoustic sensing (DAS) vertical seismic profile (VSP) data from the CaMI Field Research Station in Newell County, Alberta, Canada. High-quality attenuation-quantity images are obtained. Higher attenuation and time-lapse attenuation variations around the injection zone are observed, which is interpreted as being related to the injected CO2.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".