COHERENCE AND CHIMNEYCUBE INTERPRETATION OF PENOBSCOT AREA OFFSHORE NOVA SCOTIA
Bibliographic record
Abstract
Faulted and fractured strata are very important features of potential hydrocarbon reservoir areas. Sometimes the faults form traps for the accumulation and concentration of hydrocarbon fluids, and sometimes faults and/or fractures create an escape route for the hydrocarbons from reservoirs. They, therefore, play a significant role especially in controlling the migration of oil and gas in both horizontal and vertical directions. When the predominant migrating hydrocarbon is gas, it becomes more important due to potential drilling hazards. In this study, I concentrate on the chaotic reflection patterns directly beneath major faults and on the footwall sides of those faults. The main interest is the cause of these time distortions of reflecting horizons, compared to deeper reflectors that have not been distorted, using data from the Penobscot area of Scotian Basin, on the shelf of Nova Scotia, Canada. First, I applied the coherence attribute with and without full dip-steered data to the 3D Penobscot data set. Two major faults and two minor faults were identified, and some anomalies were identified on the north sides (footwalls) of the faults. Second, I created a chimney cube in an attempt to image hydrocarbon migration in the area. The resulting images suggest that along the major two faults there is natural gas leakage that is creating gas clouds in shallower layers.
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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 | 0.000 | 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) | 0.002 | 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".