OIL SANDS GATHERING CONDITIONS AND ACCUMULATION MODES IN COMPRESSIONAL BASINS
Bibliographic record
Abstract
Most of oil sands resources has been discovered in those compressional basins.Through analysis on how oil sands gathered and accumulated in those typical compressional basins like West Canada basin,East Venezuela basin,and Northwest Junggar basin,this paper thought that rich hydrocarbon source rocks were the fundamental for oil sands reservoirs to come into being;favorable channels and enough drives for hydrocarbons migration played important roles in the area and locations of oil sands reservoirs;oil sands generated from the densified hydrocarbons due to the degradation reaction and flushed by the ground water;sand bodies well-developed in the slope regions of the compressional basins like delta,shoreland,and fluvial facies provided large reservoirs for oil sands,while regional claystones as caprocks for hydrocarbons to migrate horizontally to fill up in sand bodies.Finally according to the location where oil sands accumulated in the compressional basins,this paper put forward two oil sands reservoirs models,i.e.,one in light pitch monocline and another one in compressive basin edge.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".