The Emerging Unconventional Upper Jurassic Oil Play in Mexico
Bibliographic record
Abstract
Abstract In recent years, oil and gas production from unconventional resources has been of particular importance in the United States and Canada. In Mexico on the other hand, the current status of shale development still remains in the exploration phase. Nevertheless, despite its incipient evolution, the Upper Jurassic Pimienta shale play has demonstrated very prospective characteristics, particularly because of the type of produced hydrocarbons (i.e. light-oil and NGL's) and the brittle nature of its reservoir rock. This paper describes the advances in the evaluation of the unconventional Jurassic Oil Play in Mexico. Production test results and descriptive analyses made in terms of their textural, petrophysical, geochemical and mineralogical conditions of this emerging play are presented. Comparison to other producing shale plays is also discussed and reveal encouraging potential. This work aims to increase the level of understanding of the unconventional Upper Jurassic Pimienta formation that eventually may contribute to Mexico´s oil output. Additionally, the Mexican authority plans to offer shale exploration blocks through an international auction in the future. The content of this paper may help as reference to describe the basic elements of this play.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".