ABSTRACT: Sequence Stratigraphy and Reservoir Quality of Alluvial/Lacustrine Reservoirs in the Albert Formation, Horton Group (Mississippian), Moncton Basin, New Brunswick, Canada
Bibliographic record
Abstract
Sequence stratigraphy has proved to be a powerful approach to the modeling of stratal successions in increasingly diverse types of sedimentary basin, including lacustrine basins. New core data from a drilling program in the Moncton Basin of eastern Canada provides an opportunity to apply a sequence stratigraphy to the Mississippian Horton Group, specifically the alluvial-lacustrine Albert Formation. A low resolution tectonic sequence is attributable to basin initiation (basal conglomerates Dawson Settlement Member), deepening (sediment starvation - mudstone and oil shale of the Frederick Brook Member), and final infilling (mixed sandstone and mudstone - Hiram Brook Member). Lithofacies interpretations from core, and geophysical evidence further indicates that the higher resolution sequences would have formed under the influence of a predominantly wet climate. Accordingly, architectures typical of overfilled or Newark type basins are identified, such as well-preserved high-relief lacustrine deltas. Lithofacies successions also suggest that interbasinal thresholds also may have influenced architecture. Advances in SEM and image-analysis technology are also providing more quantitative porosity and cement data for samples from the new core, and confirm existing diagenetic models.
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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 | 0.001 |
| 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 | 0.000 | 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".