GEOCHEMICAL INVESTIGATION OF THE EARLY EOCENE LAKI FORMATION SHALES IN THE SELECTED REGIONS OF SOUTHERN INDUS BASIN PAKISTAN
Bibliographic record
Abstract
A systematic geochemical investigation of the Laki Formation from the selected regions of Southern Indus Basin Pakistan Basin has been carried out. This paper presents the characterization of hydrocarbon potential, type of kerogen, thermal maturity, the origin of organic matter, depositional environment, and bulk mineralogy of the Laki Formation shales. The total organic carbon (TOC) content of the Laki shale ranges from 0.53 to 2.66 wt. %. The values indicate that Laki shales have fair to very good hydrocarbon potential. Type III kerogen is identified in the Laki shale based on TOC and residual potential (S2) data. Maturity parameters (Tmax & Methyl phenanthrene index) suggest that Laki shales are thermally immature for the generation of hydrocarbons. Normal alkane data and stable carbon (δ13C) isotopic value (-9.67 ‰ PDB) of the Laki shale indicates the predominantly marine origin of the organic matter. Dibenzothiophene/phenanthrene (DBT/P) ratio (0.08), Phytane (Ph)/n-C18 versus Pristane (Pr)/n-C17, and Pr/Ph versus DBT/P data suggest a marine environment of the Laki shale. The marine setting of the Laki Formation shale is further evident by coralline algae and Alveolina oblonga. X-ray diffraction (XRD) data reflect that Laki shale is brittle since it is dominated by high quartz and carbonates.
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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 | 0.001 | 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".