Architecture and differential hydrocarbon enrichment of basins under joint constraints of basement nature and regional stresses: A case study of the passive continental margin basins along the East Coast of Canada
Bibliographic record
Abstract
The East Coast of Canada presents multiple passive continental margin basins (PCMBs) characterized by significant architectural differences and limited oil and gas discoveries, establishing these basins as the global frontier for hydrocarbon exploration. Limited understanding of the characteristics of basin architectures and their control of hydrocarbon accumulation hinders exploration breakthroughs in these basins. Using magnetic anomaly, seismic, and drilling data, this study conducts integrated geological and geophysical interpretations of the PCMBs. Accordingly, this study reveals that the PCMBs have undergone three evolutionary stages, namely rifting (comprising three episodes), depression, and continental margin, with the synthem of each stage being referred to as rift layer, depression layer, and continental margin layer, respectively. Under the control of transform faults and basement nature, four distinct types of PCMBs have formed: transtensional, transform, gentle-rampy, and volcanic rifted types from south to north. The basins with varying architectures govern the sedimentary filling, the combination of petroleum system elements, and differential hydrocarbon accumulation across three major types of synthems. Furthermore, this study highlights substantial hydrocarbon exploration potentials in the turbidite sandstones within the slope and basin-floor areas of the transtensional and transform types of PCMBs, as well as in the deltaic sandstones within the rift and depression layers of the gentle-rampy type of PCMBs.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".