Investigating the effect of skin on the optimization of Coal Bed Methane (CBM) production
Bibliographic record
Abstract
Coal Bed Methane (CBM) gas reservoirs have gained increasing attention from the last decades as future alternative energy source. Among the countries that commercially extracted methane from coal beds are USA, Australia, China, India and Canada. Coal is consists of almost pure carbon, and hence the reservoir characteristics is fundamentally different from conventional reservoir. Few studies have been conducted to predict production behaviour of CBM wells in different conditions; gas slippage effect and matrix shrinkage factor. The gas production mechanism from coal seam is significantly different from that of a conventional reservoir. Thorough research need to be conducted to investigate the behaviour of CBM reservoirs. This project will focus on the production behaviour when the formation is damaged or has been stimulated. Mathematical formulation is used in evaluating the skin effect to the well production. It is expected to have different production profiles with different skin values.
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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) | 0.001 | 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 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".