Stratigraphy, facies heterogeneities, and structure in the Montney Formation of northeastern British Columbia: relation to H2S distribution
Bibliographic record
Abstract
In the last decade, the Lower Triassic Montney Formation of the Western Canada Sedimentary Basin (WCSB) has undergone significant development, providing a rich dataset to study structural, stratigraphic, and facies control on the variations in hydrogen sulphide (H2S) gas content. Splitting the siltstone dominated Montney into the three regional members (i.e., Lower Montney, Middle Montney, and Upper Montney) allows for detailed analysis on the enrichment of H2S within a local-scale study area in northeastern British Columbia (BC). Within this study area, Upper Montney H2S content increases within individual parasequences both up-dip and towards the east. In addition to potential up-dip migration, there may be greater sulphur-bearing components in the east, allowing for the sulphate reduction required to generate H2S. The overlying Middle Triassic thins eastward, providing proximity to the overlying anhydrite-rich beds of the Upper Triassic Charlie Lake Formation. Further, the overlying Middle Triassic Sunset Prairie Formation has an erosional edge that corresponds with eastern elevated H2S concentrations within the Upper Montney unit. Mapped structures are syn-depositional to the Middle Triassic, potentially providing conduits for early sulphate-rich fluid migration. In the Middle and Lower Montney, elevated H2S generally occurs with proximity to the top of the Permian Belloy Formation. Within this study area, limited Lower Montney data is available and thus needs to be further corroborated with regional data. Both the Middle and Lower Montney display elevated H2S in trends that generally align with mapped faults. The faults may have acted as conduits for sulphate-rich fluids to migrate during early burial then migrate laterally through facies that may have been permeable during early burial, such as the carbonate-rich facies at the boundary between the Middle and Lower Montney. Further core and isotope analyses are required to fully understand this relationship.
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 | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".