Application of Conventional and Constant-Rate Mercury Injection on Microscopic Pore Structure Research
Why this work is in the frame
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Bibliographic record
Abstract
Microscopic pore structure features for cores in different formations are studied by conventional mercury method and constant-rate mercury method. With constant-rate mercury injection data, distribution curve feature of pore parameters are related with permeability, which including body radius, throat radius and aspect ratio distribution curve; the statistics parameters (skewness, standard deviation and kurtosis) for above three pore features are also analyzed and related to macroscopic parameters, including permeability and porosity. With conventional mercury injection data, major factors affecting reservoir producing in microscopic pore are screened with statistics methods, normalization Pc-curves are made by J function method including withdrawal curves, and compared on different permeability and formations; relationship between microscopic pore structures features and reservoir producing is analyzed, which need further research. Key words : Conventional mercury injection; Constant-rate mercury injection; Producing state; Statistics method
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it