Characteristics of multiscale mass transport and coordination mechanisms for shale gas
Bibliographic record
Abstract
Multiscale mass transport behavior is obvious during shale gas development. Considering multiscale pore structure, multiple gas transport mechanisms and multiple micro effects, a unified mathematical model of shale equivalent permeability was constructed. Then the characteristics of shale permeability during a real production process was analyzed. The main impacts of multiscale mass transport of shale gas was investigated, including gas-solid properties, pore geometry and its connectivity, and temperature and pressure conditions. An evaluation index of multiscale mass transport behavior of shale gas was then put forward, which was the proportion of pores with diameter between 50 and 200 nm. A specific methodology on evaluating multiscale mass transport of shale gas was presented based on mesoscience. Considering the main problems in shale gas development, the coordination mechanisms for multiscale mass transport processes was put forward, which includes controlling water phase trapping damage, enlarging and connecting nanopores in matrix, and accelerating gas desorption-diffusion.
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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 | 0.001 |
| 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 | 0.001 |
| 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 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".