Identification of VMS Ore Lens Reflections using Vertical Seismic Profiling and 3D Finite Difference Modeling in Flin Flon, Manitoba, Canada
Bibliographic record
Abstract
In October 2006, three-component multi-offset vertical seismic profile (VSP) data were acquired from three deviated wells in the Flin Flon, Manitoba, Canada mining camp using dynamite and vibroseis sources. These VSP data were processed to identify reflections originating from the 85.5 Mt Flin Flon-Callinan-777 VMS ore system. From drill records, mine plans, surficial maps and seismic data, 3D voxel models of the local geology and known ore lenses were built, which were then used in 3D finite difference-modeled simulations of the VSP surveys. The number of geological units partitioning the models were increased incrementally to study the effects on seismic response of massive sulphide ore and major rock units. The simulations and field data were jointly visualized and the reflection signature of the known VMS ore lenses in the field VSP data was identified and characterized.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".