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Lithofacies and Sedimentology of Baghanwala Formation (Early-Middle Cambrian), Eastern Salt Range, Pakistan

2022· article· W7134133337 on OpenAlexaff
Syed Haroon Ali, Noureen Shoukat, Yasir Bashir, Syed Muhammad Talha Qadri, Ali Wahid, Muhammad Atif Iqbal

Bibliographic record

VenuePakistan Journal of Scientific & Industrial Research Series A Physical Sciences · 2022
Typearticle
Language
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of the Fraser Valley
FundersUniversity of the Punjab
KeywordsSiltstoneSedimentologyBeddingPseudomorphSedimentary rockFaciesPetrographySedimentary structuresEvaporite

Abstract

fetched live from OpenAlex

A detailed sedimentological study of the Baghanwala formation from, the Sikkiwala Kas (58.5m) and the Choa Saidan Shah-Khewra section (30 m) in the eastern salt range was carried out, six lithofacies were identified: sandstone interlaminated with mudstone (LF1), medium to coarse-grained sandstone (LF2), fine-grained sandstone interbedded with mudstone (LF3), medium grained sandstone with flaser, wavy and lenticular bedding (LF4), sandstone intercalated with siltstone and mudstone with salt pseudomorph (LF5) and mudstone with sandstone intercalations (LF6). A variety of sedimentary structures has been recorded. These include salt pseudomorph, ripple marks, trace fossils, mud cracks, lenticular, wavy and flaser bedding. The sandstone facies are composed of thin, channelised bedding which were mainly deposited in shallow marine The remaining part exhibits relatively higher porosity as evidenced by the study of thin sections. Therefore, LF2 and LF3 of the Baghanwala formation have the potential to be considered as a candidate of reservoir quality based on petrography and well logs. This part appears to be a good reservoir and may be exploited for its hydrocarbon potential in the subsurface in the eastern Potwar.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.142
GPT teacher head0.349
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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