Exploitation Technologies of Coalbed Methane in the Qinshui Basin of China
Bibliographic record
Abstract
Coalbed methane (CBM) is a new environmentally friendly unconventional energy source of great promise for exploitation. The CBM resources in the Qinshui Basin are as great as 3.97 × 1012 m3, i.e., 10.8% of the total coal gas resources of China. Compared to the main coal basins of the United States, Australia, Canada, and Russia, the Qinshui Basin is characterized by high metamorphism, high gas content, and low values of porosity and permeability, as well as by low formation pressure. The commercial exploitation of productive beds at the Qinshui Basin requires the use of efficient technologies of stimulation. Vertical wells with hydraulic fracturing (HF) predominate at the Qinshui Basin. The CO2 injection, electric pulse, multistage HF, etc. technologies are used as well.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".