Buried rift basin under the Kalpin fold-thrust belt in the northwestern Tarim Basin: Implications for deep oil and gas exploration
Bibliographic record
Abstract
ABSTRACT Older rift basins, which were deeply buried and reworked by advancing fold-thrust belts, offer potential opportunities for hydrocarbon accumulation, but capturing and defining them can be challenging. This study uses reprocessed two-dimensional seismic data sets, offering unprecedented insight into a buried Neoproterozoic rift basin within the Cenozoic Kalpin fold-thrust belt (KFTB). The results reveal a Neoproterozoic rift basin characterized by strong, dipping reflectors at its base and multiple unconformable reflection interfaces at its top, outlining the synrift wedge. The rift and its associated faults predominantly exhibit east-west and northeast trends, suggesting a potential linkage to the northern rift system in the Tarim Basin. In addition, several anticlines, driven by the uplift of lower Cambrian strong reflectors above the regional elevation, are identified as rift inversion structures formed after the overlying thin-skinned deformation. Consequently, the structural style of the KFTB is redefined as Cenozoic thin-skinned tectonics involving Neoproterozoic rift inversion. This redefinition highlights several significant structural traps beneath the thrust sheets. These buried structures under the thrust nappes shed new light on deep hydrocarbon resources, encouraging a renewed assessment and unlocking the exploration potential of fold-thrust belts.
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 | 0.001 | 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".