Improved Curve Fitting Methods for Underdamped Slug Tests
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A slug test yielding an oscillating water level response is called “underdamped.” Usually, test data are fitted visually to theoretical solutions. Considering that visual fits are user dependent, this paper provides two best fit user independent methods for analyzing test data. It provides also a velocity graph method that can be used to select only those data that are not influenced by initial dynamic effects such as splashing. Several examples are provided, with emphasis on the utility of the three checks required by ASTM D5785. It is shown that the selected value of the soil modulus or its storativity S does not interfere with the fitting process but does influence the derived k value by about ±30% (the lower the selected S value, the higher the resulting k value). If the elastic S value is confused with a specific yield, the interpretation results do not pass the three checks of ASTM D5785, and, as shown by an example of a few hundred tests, they might yield k values that are wrong by about 300%, with serious consequences for estimates of groundwater velocity and the fate of contaminants.
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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 | 0.002 | 0.004 |
| 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 | 0.001 |
| 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