Non-Isothermal Displacements with Step-Profile Time Dependent Injections in Homogeneous Porous Media
Bibliographic record
Abstract
Miscible non-isothermal flow displacements in homogeneous porous media are modeled and analyzed in flows that involve step-profile velocities that alternate between injection and extraction. The viscosity is assumed to vary with both the concentration and the temperature. The flow is governed by the continuity equation, Darcy's law and the convection-diffusion equations for the concentration and temperature with the assumption of thermal equilibrium. The problem is formulated and solved numerically using a combination of the highly accurate spectral- methods based on the Hartley's transform and the finite-difference technique. Non-linear simulations were carried for a variety of parameters to analyse the effects of the time-dependence of the injection velocity on both the solutal and the thermal front. It is found that for the same net flow rate, time-dependent injections affect not only the solutal front but also the thermal from which can become unstable under time-dependent scenarios when it is known to be stable for flows with a constant injection velocity. The results of this study will be used to improve our understanding of the coupling between heat and mass transfer in flows in porous media and to optimize a variety of non-isothermal flow displacements.
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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 | 0.001 |
| 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 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".