The Stability of Fault Systems in the South Shore of the St. Lawrence Lowlands of Québec – Implications for Shale Gas Development
Bibliographic record
Abstract
Abstract Recent concerns over naturally occuring earthquakes, precipitated by the shale gas industry reactivating faults and the potential impact on surface structures and shallow aquifers have prompted this study to catalogue the location, type, current stress state and proximity to the surface of major Cambrian to early Ordovician faults in the St. Lawrence Lowlands of Québec. A considerable amount of geophysical data has been collected in the St. Lawrence Lowlands of Québec over the last 30 years allowing for accurate mapping of the fault network within the Cambro-Ordovician deposits, the area being targeted for shale gas development. Integration of modern 2-D seismic, high resolution aeromagnetic surveys, lineament analysis of surface topography and recent geophysical well logs have resulted in detailed maps of the faults affecting the autochthonous strata of the St. Lawrence Lowlands. After correlating these maps to present day in-situ stress maps and earthquake data it has been determined that hydraulic fracturing of the Utica shale in the south shore region of the St. Lawrence Lowlands is highly unlikely to reactivate near surface faults affecting shallow aquifers or surface structures.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".