Physical and hydraulic characterization of fractured, hydrophobic sulphur within above-ground sulphur blocks
Bibliographic record
Abstract
Volatility in the price of sulphur has resulted in the temporary storage of sulphur in large, surface blocks at oil sands properties in northern Alberta, Canada, that are subject to oxidation which produces acidic effluent. Characterization of water storage and migration within these blocks is required to assess potential environmental impacts. Investigation of the elemental sulphur (S0) blocks at Syncrude’s Mildred Lake site included fracture mapping and laboratory testing of core samples for density and permeability to air and water. Internal porosity was mapped with X-ray tomography, and water-intrusion porosimetry was used to define saturation–pressure relationships. The blocks have regular polygonal fractures with a porosity of approximately 1.4%. The mean total and water-available porosity of core samples was 9% and 6%, respectively. The water-entry pressure head was 1–2 m for matrix pores, but only 1–2 mm for fractures. Estimated functional relationships for volumetric water content versus water pressure of the fracture and matrix system are used to illustrate how infiltration is likely to occur rapidly along fracture pathways but with insufficient pressure to allow water to penetrate the matrix, suggesting that acid production occurs by flushing of the fracture surface with little influence from the matrix.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".