Recognition and Distribution of Shallow Natural Gas in Beidagang Zone of Huanghua Depression
Bibliographic record
Abstract
Documents about shallow natural gas,especially in Alberta basin of Canada,suggest that the shallow gas resources are abundant in the petroliferous basins,with great potential for exploration and development.Here we summarized the logging identification(overlay technique of DTL and NGL,CNL and CDL)of shallow natural gas in the Beidagang zone based on the examples of Gangdong oilfield and Gangxi oilfield in Beidagang zone of Huanghua depression.In macroscopic area,the shallow gas is distributed along the structural high position of Gangdong fault-nose as well as sand bar,channel,abandoned channel and other sandstone body in meandering river.But the single shallow gas reservoir is controlled by lithological change.Most gas reservoirs have different gas/water boundary.The disparate water/oil/gas system which was formed by fault and lithologic lenticular occurs,with the interleaving distribution of water/oil/gas in vertical.
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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 | 0.000 | 0.000 |
| 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 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".