3D velocity modeling for mineral exploration via ambient noise tomography
Bibliographic record
Abstract
ABSTRACT An application of ambient noise tomography (ANT) for mineral exploration near the town of Marathon, Ontario, Canada, is documented. The study area consists of host rocks for platinum group metals and copper. ANT was performed to generate a 3D shear-wave velocity (VS) model for the exploration of Marathon deposits. The ambient noise recordings used were collected using 90 vertical geophones for 26 days. The recordings were used to compute the noise correlation functions and estimate Rayleigh wave phase and group velocity dispersion curves. Then, these dispersion measurements were used for 2D tomography to create 2D velocity maps that were inverted to obtain a 3D VS model. The independently produced VS model shows good agreement with the measured VS from downhole VS logging. Furthermore, the developed 3D velocity model aids in interpretation of the study area that can be helpful for future mineral exploration and for improving understanding of the mineral generation model.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".