Integrated hydrogeological and geotechnical studies at the Diavik Diamond Mine in support of pit slope design optimisation
Bibliographic record
Abstract
Integrated hydrogeological and geotechnical studies have been critical for slope stability analysis and pit slope design at the Diavik Diamond Mine A21 pit in the Northwest Territories of Canada, an area of continuous permafrost. The mine is located on the shores of Lac de Gras and required partial dewatering of a lake with the associated construction of a water-retention dyke to facilitate the pit excavation within the underlying open talik (unfrozen ground). Pre-feasibility hydrogeological modelling of the pit identified the need for a dewatering well network to achieve the design acceptance criteria for the pit walls. Testing of initial dewatering wells installed along the pit crest identified the potential presence of an unmapped structural feature/enhanced permeability zone behind the southeast wall of the pit. This triggered further detailed review of core logs and available mapping data, which corroborated the presence of a highly fractured zone for consideration in both the hydrogeological and slope stability modelling in support of detailed pit slope design and optimisation. Over the course of the mine life, multiple revisions of the hydrogeological model have been made as supplemental data has been collected to support refinement of pore pressure predictions behind the pit walls. The groundwater modelling considered the inherent uncertainty of modelling in bedrock environments and the efficiency of pumping wells in fractured bedrock, and was completed in close collaboration with geotechnical teams to successfully support slope stability analysis and design optimisation.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".