Seismic modeling and imaging for a shallow CO<sub>2</sub> injection project
Bibliographic record
Abstract
We investigate the effects of CO2 storage monitoring with seismic imaging using fluid simulation, rock physics and wavefield propagation. The fluid simulation is used to estimate the saturation of CO2 and reservoir pressure. The influence of saturated CO2 on rock elastic properties are approximated using Gassmann’s equation. Using a numerical example, we show CO2 flow simulation plume create the Gaussian shaped varition of the elastic properties around CO2 injection point. The result of wave propagation and reverse time migration for a time-lapse study are compared with a scatterpoint method which has non-Gaussian shaped (i.e. a sharp contrast). The results shows that the amplitude of forward modeling and RTM image of injection zone is smaller compared to the scatter point models. This suggests the use of alternative approach such as traveltime variation as compared to reflection imaging. Presentation Date: Wednesday, October 19, 2016 Start Time: 1:55:00 PM Location: 156 Presentation Type: ORAL
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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 | 0.000 | 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 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".