Use of conductivity meter to characterize the flow of groundwater in well: Use of artificial well
Bibliographic record
Abstract
This Bachelor thesis is focused on the geophysical "tracer dilution technique" in the well. The main aim of my thesis was to test modern autonomous conductivity meter (Levelogger, Solinst co. Canada) for this method in the artificially assembler well, where the real flow rate can be measured and controlled unlike in case of real wells. To compare the flow rate directly measured on inflow tubes to well and indirectly derived from tracer dilution technique the mean residence time in vertical segments was used. Based on 8 experiments the autonomous conductivity meter and also conductivity meters with probe on cable can be used for tracer dilution technique. Experiments clearly demonstrated that salt solution is slowly leached even from dead zones in unscreened part of the well at lest several tens of cms from boundary with creened casing. Salt solution is migrating from dead zones to sreened parts of the well. As a result the tracer dilution technique gives up to 2 times slower horizontál flow rate than directly measured flow. Similar effect may exit on real wells. Powered by TCPDF (www.tcpdf.org)
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".