Estimation of Interval Velocity and Attenuation Anisotropy from Reflection Data at the Coronation Field
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Bibliographic record
Abstract
Attenuation can be extremely valuable in characterizing gas accumulations in shales and sands. In fractured reservoirs, anisotropy can provide additional information about the distribution of fractures. Here, we apply a layer-stripping approach to wide-azimuth P-wave data acquired over a gas reservoir in the Coronation Field, Alberta. The main processing steps involve estimation of traveltimes from the top and bottom of the target layer followed by computation of the interval NMO velocity and attenuation coefficients using velocity-independent layer stripping and the spectral-ratio method. The vertical attenuation coefficient shows a reasonable correlation with existing gas-producing well locations, and, therefore, serves as an indicator of gas accumulation in pore space. Based on the attenuation information, we conclude that the lower half of the survey area has significant gas reserves. In these areas, the estimated azimuthal velocity anisotropy can be used to plan horizontal wells oriented orthogonal to the fracture direction.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it