Bibliographic record
Abstract
The development of unconventional oil and gas in North America has caused a significant increase of seismicity in areas of intense injection operations, including hydraulic fracturing, wastewater disposal, and enhanced production and recovery. These induced earthquakes have attracted considerable media attention due to their potential seismic hazards. In 2012, NRCan initiated the Induced Seismicity Research (ISR) Activity as part of the Shale Gas Research Project, under the Environmental Geoscience Program, to investigate the possible relationship between hydraulic fracturing (HF) of shale gas and the changing pattern of local seismicity. In 2015, the activity was expanded to a Project to include studies of all injection-related seismic events. NRCan's ISR Project has three major tasks. The first is to improve real-time earthquake-monitoring capability in major shale gas basins where the station coverage of regional seismograph network is sparse. The second is to establish the baseline of regional seismic pattern (i.e., the pre-development reference line) for places where the development potential of unconventional oil and gas is deemed high in the foreseeable future. The third is to conduct targeted studies on significant induced events to understand the relationship between their seismogenesis and man-made operations. In collaborations with many partners, new broadband seismograph stations have been installed in BC, AB, NB, SK, QC, NT, and YT. Studies of local seismicity before, during, and after HF operations have been completed for the northeast BC and western AB, the Moncton and Sussex areas (southern NB), and the Norman Wells area of the central MacKenzie Valley (NT). Regional earthquake baseline is also established for the areas of St. Lawrence Valley and Anticosti Island, QC. An increase of local seismicity in BC and AB is spatially and temporarily correlated with the peak period of injection operations associated with shale gas development. Tectonic strain rate and injection volume appear to be important factors in controlling the distribution of induced events. Although large induced events always occurred near injection wells with large volumes, large injection volume do not necessarily result in large induced events. Some of the largest hydraulic fracturing-induced earthquakes can cause strong shaking at the source areas, suggesting that seismic hazards due to induced earthquakes should not be overlooked. Future efforts of NRCan's ISR include the delineation of seismogenic patterns of injection-induced earthquakes and their implications for regional short-and long-term seismic hazards, detailed investigations of induced earthquake source characteristics with a multi?disciplinary approach, and the development and establishment of quantitative models to enhance and improve regulatory performances.
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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.032 |
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".