Bibliographic record
Abstract
Transport-geomechanics coupling is of practical necessity in engineering when their mutual impact has a first-order impact (>10%) on results. In soil mechanics, most design or analysis issues do not meet this criterion, hence coupling may not be of practical value. In petroleum geomechanics, however, coupling is usually necessary because the compressibilities of the mineral, the fabric and the fluid are similar. Coupling involves a number of issues and levels. At one level, coupling of diffusion processes involves joint solution of heat flux, pressure propagation, ionic diffusion, and even electrical current effects. At the mechanics level, coupling these processes with geomechanics in a Biot poroelasticity formulation involves joint or iterative solution of the pressure, temperature and concentration fields along with the stress and strain field. At yet another level, there exist strong dependencies of transport properties on non-linear effects such as shear dilation, partial fabric collapse, joint aperture dilation, temperature and viscosity, and so on. Incorporating these non-linear effects into realistic mathematical modelling is the next major challenge in petroleum geomechanics.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".