Comparison among Petroleum Distribution Patterns of Three Richest Foreland Basins in Petroleum Resources in the World
Bibliographic record
Abstract
The Persian Gulf Basin,Eastern Venezuela Basin and Western Canada Basin are the richest petroliferous foreland basins in the world.Analyses of the up-to-date oil and gas geological data indicate that there are significant differences in oil and gas distribution features and hydrocarbon resource mixes among the three foreland basins.Within the foreland basins,oil and gas are widely distributed throughout both the thrust-fold belt and foredeep-slope,but the discovered reserves are mainly concentrated in the foredeep-slope.Stratigraphically,passive margin tectono-strata host over 91.0% of the discovered reserves in the Persian Gulf Basin while foreland sequences are the major reservoir intervals in the Eastern Venezuela Basin and the Western Canada Basin.The petroleum resources of the Persian Gulf Basin are dominated by conventional oil and gas while the Eastern Venezuela Basin and the Western Canada Basin are endowed with unconventional heavy oil and natural bitumen.The spatial configuration relationship between regional seals and petroleum migration pathways controls the different mixes of hydrocarbon resources in the foreland basins.
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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 | 0.002 | 0.002 |
| 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) | 0.001 | 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".