The comprehensive PS-wave static correction technique used for Canadian oil sand reservoirs
Bibliographic record
Abstract
Multi-wave seismic exploration, which utilizes P-wave, S-wave and PS-wave, is an effective method for the fine exploration of petroliferous basin. The oil sands in the MacKay region are mainly lithologic reservoirs, which vary laterally. The swamp area in the surface is very big and distributed in unbalance. The near surface is complex and varied. The PS-wave residual statics is obtained by the common receiver point stack cross-correlation method controlled by PP and PS-wave structure time and the integrated global optimized static correction method. The continuity and signal to noise ratio (SNR) of seismic sections are improved obviously. The accurate imaging of PS-wave data proves the validity and reliability of the method in this paper. It provides important geophysical exploration results for the development of oil sands. Presentation Date: Monday, October 15, 2018 Start Time: 1:50:00 PM Location: 213A (Anaheim Convention Center) 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".