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Record W4408522735 · doi:10.1306/07122422055

Buried rift basin under the Kalpin fold-thrust belt in the northwestern Tarim Basin: Implications for deep oil and gas exploration

2024· article· en· W4408522735 on OpenAlexaff
Cheng Zhong, Tongsheng Zeng, Chengzao Jia, Guoqi Wei, Dong Jia, Yongjin Zhu, Hongwei Yin, Zhuxin Chen, Xing Wang, Yong Zhang

Bibliographic record

VenueAAPG Bulletin · 2024
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGeologyTarim basinFold (higher-order function)RiftStructural basinThrustGeomorphologyFossil fuelPaleontologyGeochemistryPetrology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.242
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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