Mapping of alteration zones with seismic-amplitude data and well logs in the hard-rock environment of the Keefe Lake area, Athabasca Basin, Canada
Bibliographic record
Abstract
Abstract Optical televiewer (OTV) and full-wave sonic (FWS) data sets acquired in two boreholes from the Keefe Lake property of Atom Energy Inc. (AEI) provided a unique opportunity to study the lithologic units through analysis of P- and S-wave velocities and elastic rock properties derived from them (Poisson's ratio, lambda, and mu). This approach is a first attempt to describe petrophysical properties for the sandstone sediments and underlying crystalline Proterozoic rocks of the eastern Athabasca Basin. Wireline measurements penetrated through the entire (180-m) thickness of the basin fill and deep into the basement (357 m and 552 m), intersecting several fracture and alteration zones. Such zones are considered possible locations of uranium mineralization in the Athabasca Basin. Seismic attributes (amplitude envelope and cosine instantaneous phase) can be used in the hard-rock environment. The characteristic values of fracture and alteration zones can by analyzed by crossplotting the elastic properties derived from the FWS data. After insertion of the elastic-property logs into the closest seismic section, the probable spatial extents of three anomalous zones revealed in the vicinity of the boreholes are investigated. The results of amplitude-variation-with-offset (AVO) modeling carried out based on petrophysical properties obtained from the basement show that clay-filled fracture zones in the hard-rock environment of the study area are associated with increasing, anomalous AVO responses.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".