Bibliographic record
Abstract
The stress field and seepage field are the important control factors of the CBM accumulation, preservation and effective exploitation. In order to effectively filter out the CBM favourable zone of a block in Jixi basin, the regional stress field and seepage field are studied. Firstly, the permeability sensitivity experiment under different effective stress and temperature are carried out with the JHCF intelligent core flow test instrument, the mathematical physics equations that reflect the relation between the coal permeability and the effective stress and temperature is established. Through analyzing the geological structure, reservoir and hydrogeological characteristics, a three-dimensional geological model is constructed. Applying the finite element numerical analysis method, the regional stress field, temperature field, permeability field and the seepage field are simulated. The result shows: the north central part has lower stress, higher permeability and lower velocity of seepage than other fields. It is conducive to the structural preservation; water power saving and efficient Exploitation for CBM, where can be the dessert zone for CBM exploration and development.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".