Pore Scale Investigation of Wettability Effect on Waterflood Performance
Bibliographic record
Abstract
Abstract A direct quasi-static pore-scale modeling approach is implemented in a simulation package to reconstruct interfacial areas and predict two-phase fluid occupancy profiles during drainage and imbibition at low capillary number equilibria. The proposed pixel-wised algorithm is equipped by a novel object-based up-scaling methodology and is applied to three-dimensional consolidated and unconsolidated pore-level domains with uniform and non-uniform contact angle distributions. Stationary finite element simulations are conducted in partially saturated microstructures to provide the electrical and hydraulic conductivity predictions. The post-processing results present capillary pressure and relative permeability curves and the ad hoc parameters of Archie's law including tortuosity and formation factors, and cementation and saturation exponents. The data gathered in this study highlights the significant role of wettability in shaping the electrical and fluid flow pathways and reveals the impacts of cementation, rock configuration, conductive phase saturation, and two-phase spatial distributions on the flow of electric charges and petrophysical description of geological formations.
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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 | 0.000 |
| 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 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".