Lowering Impacts of Natural Gas Drilling in Dawson Creek, BC, Canada
Bibliographic record
Abstract
Growing global energy demands has increased the use of hydraulic fracturing for the economic extraction of the world’s shale gas. The increase has raised concerns from stakeholders about the impact on the environment, drinking water and human health. As a major producer of shale gas, Royal Dutch Shell has developed a set of five operating principles to address the concerns of safety, footprint, air, water and community. The collaboration between Shell Canada and the City of Dawson Creek on a reclaimed water facility in northeastern BC exemplifies these principles. Benefits to the Dawson Creek as a result of the facility include a reduction in: water taken from the Kiskatinaw River; treated sewage (926/100ml faecal coliform) discharged to Dawson Creek; and water transferred between the Kiskatinaw and Pouce Coupe watersheds. An 85% reduction in discharge to Dawson Creek will improve dilution rates during periods of low flow when a majority of the flow is due to the City discharge. Using reclaimed water for industrial purposes alleviates the strain on the growing community’s drinking water supply and the sale of reclaimed water also provides a new revenue stream for the municipality. Benefits to Shell include: virtual elimination of Shell’s draw on fresh water in the area by providing guaranteed access to reclaimed water. A pipeline will link the reclaimed water facility to Shell’s central water hub where it will be mixed with flowback water for future fracturing operations. The pipeline is expected to eliminate 3,000,000 km a year of heavy road traffic, over the course of full field development, resulting in: reduced diesel exhaust, road dust, and noise as well as increase road safety. The Dawson Creek reclaimed water facility demonstrates how sound operating principles and innovative collaborative agreements can result in significant advances in sustainable development. This project alone has made strides in river health, air quality and road safety.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".