Aprovechamiento de metano en la cuenca carbonífera central asturiana: trabajos recientes The use of methane in the asturian central coal basin: recent work
Bibliographic record
Abstract
Resumen: La explotacion de hidrocarburos no convencionales, entre ellos el del metano contenido en las capas de carbón (cbm: Coal Bed Methane), ha experimentado un gran auge en los últimos anos. La Cuenca Carbonífera Central Asturiana (ccca) ofrece un gran potencial para desarrollar proyectos de este tipo, como lo atestiguan las investigaciones y valoraciones llevadas a cabo en esta zona desde los años 90 del siglo xx. Hunosa, la empresa minera estatal que opera actualmente en la ccca, ha realizado una serie de investigaciones en los últimos años encaminadas al estudio de las posibilidades de desarrollar proyectos vinculados al aprovechamiento de metano del carbón, ya sea vam, amm, cmm o cbm. Los resultados obtenidos muestran que el cbm es el tipo de proyecto más adecuado actualmente para desarrollar en la ccca.Palabras clave: carbón, cbm, Cuenca Carbonífera Central Asturiana, hunosa, metano.Abstract: The exploitation of unconventional hydrocarbon deposits has increased in recent years. Methane from coal seams represents one of these gas resources. The Central Asturian Coalfield (cac) has a high potential to develop these types of projects, as many studies and research carried out since the 90’s (20th century) confirm. Hunosa, the stated-owned coal-mining company that currently operates in this area, has performed research for the last years focused on assessing the feasibility of developing projects related to methane exploitation: vam, amm, cmm and cbm. These studies have concluded that cbm projects would be the most adequate technique to be implemented in cac.Keywords: coal, cbm, Central Asturian Coalfield, hunosa, methane.
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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 | 0.000 |
| 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 | 0.001 | 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".