Numerical modelling of gas flow in a compact clay barrier \nfor DECOVALEX-2019
Bibliographic record
Abstract
The mechanisms controlling the movement of gases through geological disposal facilities can be described by models \naccounting for (i) diffusion, (ii) two-phase flow, (iii) localised flow pathways and (iv) gas fracturing of the rock. It is therefore \nnecessary to consider all these phenomena for a better understanding of the processes governing the movement of gases in low \npermeability materials. The purpose of Task A in the current phase of the DEvelopment of COupled models and their VALidation \nagainst Experiments (DECOVALEX) project is to better understand the processes governing the advective movement of gas. In this \npaper, a synthesis of the ongoing work of eight participating modelling teams is presented. A wide range of 2D and 3D approaches \nincluding (i) continuous strategies assuming different mechanical deformation behaviors, (ii) continuous models with distinct phases \nor embedded fractures and (iii) discrete models with different formulations are validated against a gas flow test on pre-compacted \nbentonite undertaken by the British Geological Survey. The results of the ongoing work show that after a calibration process, plausible \ndescriptions of the laboratory experiment can be achieved.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".