Reprocessing and Characterization of Long-duration Tremor Signals from a Hydraulic-fracture Treatment in Western Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary The Hoadley flowback microseismic experiment (HFME) was undertaken commencing August 2012 for long-term passive seismic monitoring in a open-hole multistage hydraulic fracture treatment in the Glauconitic member (Hoadley gas field, central Alberta). The scientific goals of this project were to document and develop a geomechanical model for microseismic activity associated with flowback and production stages of development of a tight-gas reservoir. About 1650 events were located during the two-day hydraulic fracture treatment program. The distribution of microseismicity revealed a relatively complex fracture pattern. The objectives of this study are twofold. First, complete reprocessing of the raw microseismic data has been undertaken using in-house software, with the goal of improving the understanding of the relationship between source type (shear versus tensile) and the treatment parameters. The second goal is to characterize long-duration tremor-like events that occurred episodically during and after treatment. These events are interpreted as activation of slow slip on pre-existing fractures. Two of these tremor-like events occurred during the postpumping period after the second day of treatment; they both exhibit frequency characteristics that are consistent with a slowly cascading rupture process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it