Study to Investigate the Potential of Coal Bed Methane (CBM) in Nigeria
Bibliographic record
Abstract
The increasing global demand for energy has led to a heightened interest in unconventional hydrocarbons, including coalbed methane (CBM), a type of natural gas found in coal deposits. This research explores the viability of utilizing CBM in Nigeria, focusing on four key basins, including Okpara, Onyeama, Okaba, and Owukpa basin. Key coal quality parameters, such as coal rank, depth, moisture content, ash content, and volatile matter, were analyzed and compared to data from prominent coal basins in the United States, Indonesia, China, India, Australia, and Canada. The findings indicate that Nigerian coal is predominantly sub-bituminous, with an average moisture content of 10.95% by weight and is located at relatively shallow depths. These characteristics suggest that Nigeria has significant potential for CBM production, positioning it as a promising alternative energy source for the country.
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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".