PROBLEMY I PERSPEKTIVY ISPOL'ZOVANIYA SHAKHTNOGO METANA [PROBLEMS AND PROSPECTS OF COAL MINE METHANE]
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The use of coal mine methane ensures the implementation of the principle of integrated development of the deposit. The urgency of the problem of coal mine methane is determined by the fact that the Presidential Decree of September 30, 2013 № 752 "On the reduction of greenhouse gas emissions" is to bring to the 2020 decrease in emissions. The article substantiates the necessity of cardinal growth of the volumes of utilization of mine methane, as well as the strengthening of the role of degassing methods. The main reasons for the low level of utilization in the Russian Federation are noted. The main directions of using coal mine methane at present are considered, among which are: heat generation (fuel in boilers and other heat generators); generation of electricity (fuel for diesel engines of alternators); fuel for motor vehicles; raw materials for the chemical industry. The analysis of the main methods of utilization of methane-air mixtures is presented. Three perspective technologies for recycling methane from the ventilation streams of coal mines to the atmosphere are singled out: a thermal reactor with reversible flows "VOCSIDIZER", developed by MEGTEC Systems; a thermal reactor with reversible flows "VAMOX", developed by the company "Biothermica Technologies Inc."; a catalytic reversible reactor developed by Canadian Mineral and Energy Technologies. International practice shows that the implementation of projects for the utilization of coal mine methane, as a rule, requires the economic stimulation of such works. The article gives the main incentives and identifies the main directions for solving the problem of coal mine methane utilization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it