A new method for assessing tight oil, with application to the Lucaogou Formation in the Jimusaer depression, Junggar Basin, China
Bibliographic record
Abstract
ABSTRACT This study proposes a new method for estimating tight oil resources in a closed petroleum system using an alternative mass balance model. The proposed approach primarily derives resource estimates based on a large volume of Rock-Eval pyrolysis data. In addition to leveraging the cost-effective, straightforward, and rapid process, the proposed method has the flexibility to assess the potential of different types of resources, including organic-rich tight (shale) oil and organic-lean tight oil. The method is validated by assessing the oil resource potential of the middle Permian Lucaogou Formation (P2l) in the Jimusaer depression, Junggar Basin, China. Results indicate that the P2l contains 1.62 × 109 t (11.91 × 109 bbl) of organic-rich and 2.88 × 109 t (21.17 × 109 bbl) of organic-lean tight oil. Of the organic-rich tight oil, 21% comprises free oil resources, amounting to 0.343 × 109 t (2.521 × 109 bbl). The proposed approach deals sufficiently with the different resources in a petroleum system well and provides a useful tool for estimating the resource potential of an unconventional 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".