14. Multicomponent Processing of Seismic Data at the Jackfish Heavy-Oil Project, Alberta
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Bibliographic record
Abstract
Introduction This investigation was undertaken to evaluate the processing flows needed to obtain vertical and radial post-stack-migrated seismic sections from a heavy-oil reservoir in eastern Alberta. Converted-wave seismic processing flows have been previously investigated and documented by Harrison (1992) and Isaac (1996). Of particular importance to converted-wave processing is the analysis of receiver statics. Isaac (1996) and Cary and Eaton (1993) showed that S-wave receiver statics can be extremely large and variable compared to P-wave receiver statics. It is not uncommon to have S-wave receiver statics on the order of ±200 ms, whereas P-wave receiver statics are commonly small, typically less than 20 ms. Velocity analysis is an integral component of converted-wave processing. There has been extensive research relating to nonhyperbolic moveout, valid for weak anisotropy. In many cases, for short to medium offset P-P data, hyperbolic normal moveout (NMO) is an adequate approximation for moveout used in velocity estimations (Al-Chalabi, 1973; Tsvankin and Thomsen, 1994; Alkhalifah, 1997). For P-S data, the hyperbolic NMO correction is valid only for short offsets (Iverson et al., 1989). Furthermore, Castagna and Chen (2000) found that conventional processing software assumes hyperbolic moveout and may produce false structure and false responses below anisotropic regions because of improper removal of NMO. It has been found that the overlying rock in some heavy-oil areas exhibits high values of anisotropy. Newrick and Lawton (2003) found that at Pikes Peak, Saskatchewan, the Thomsen parameters of anisotropy have values of and , from data using a multioffset vertical seismic profile. If the Jackfish area is similar, there is a need to explore the results based on nonhyperbolic NMO as opposed to the standard hyperbolic NMO calculations.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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