Interpretation of multipath-analysis localizations of microseismic data: An Alberta Montney shale example
Bibliographic record
Abstract
Reprocessing of a three-well microseismic survey in the Montney formation in Alberta was performed in 2012 by Octave Reservoir Technologies using a proprietary technique known as multipath analysis. Simultaneous detection and analysis of direct-path and head-wave arrivals of microseismic event energy during localization provided an expected increase in localization accuracy, particularly in depth, and resulted in event positions that were significantly different than those produced by current industry methods. In this work, the new event localizations are examined as a function of proximity to internal physical structures found within a 3D seismic depth volume through calculation of interface curvature and seismic incoherence. The results indicate a correlation between the determined event locations and computed seismic properties, indicating that the increase in event localization accuracy achieved may have been sufficient to enable observation of a relationship between the spatial distribution of induced microseismic activity and identified internal physical structures.
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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 | 0.000 | 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) | 0.001 | 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".