Characteristics of Coalbed Methane Reservoirs in Faer Coalfield, Western Guizhou
Bibliographic record
Abstract
Based on analysis of the geological background and gas content data in Faer coalfield, we discuss the occurrence characteristics of coalbed methane (CBM) and its distribution along the stratigraphic sequence and in coal seams. We analyze the methane adsorption isotherm experiments, reservoir deformations and mercury intrusion porosimetry (MIP), and further discuss the reservoir physical properties. The results show that gas content and gas content gradient of CBM fluctuate with stratigraphic sequence that is mainly caused by the difference in absorption capacity of each coal seam and distributions of CBM reservoir pressure systems. The relatively low gas content gradients of those coal seams buried below 500 m depth result from the dissipation of CBM into the surrounding rocks of thin and unstable Nos. 28 to 34 coal seams and the lateral migration of CBM along the strata in high-elevation area. The Yangmeishu syncline and topography are the main controlling factors that affect the current distribution pattern of CBM content, which is higher in the north than in the south and has a northeastern trend. The theoretical gas saturation is generally lower than 60%, combined with well-developed brittle fractures and macropores, formed by structural deformation. The exploration prospects for CBM in Faer coalfield is good.
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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 | 0.000 | 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 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".