Sequence stratigraphic architecture of the Lower Triassic Montney Formation, northeastern British Columbia, Canada
Bibliographic record
Abstract
ABSTRACT The Lower Triassic Montney Formation in western Canada is the third largest unconventional natural gas deposit globally. The project area lies at the basinward limit of subsurface deposition and exhibits a wide degree of heterogeneity. Four stratigraphic sequences bounded by either coplanar sequence boundary–flooding surfaces or their correlative conformities are recognized in the Montney and overlying Sunset Prairie Formation and are matched to global Triassic substages. These sequences and substages include sequence 1 (Griesbachian–Dienerian, lower Montney), sequence 2 (Smithian, middle Montney), sequence 3 (Spathian, upper Montney), and sequence 4 (Anisian, Sunset Prairie). Sequence 1 consists of a retrogradational to aggradational set of distal ramp parasequences. Sequence 2 is composed of prograding mixed siliciclastic-carbonate ramp parasequences. Sequence 3 is made up of two distinct successions. The lower interval reflects deposition in offshore environments during onlap, whereas the overlying interval is an offlapping set of shoreface parasequences. Sequence 4 was deposited within an offshore to lower shoreface setting. With petrophysical logs, subsurface core, and biostratigraphic data, higher-resolution parasequences may be identified within each of these four sequences. Sequence 1 can be further subdivided into three parasequence sets (LmA–LmC) and one separate parasequence (LmD), sequence 2 into four parasequence sets (MmA–MmD) and one separate parasequence (MmE), sequence 3 into five parasequence sets (Um1–UmC), and sequence 4 into one large parasequence unit (Am1). Understanding these different parasequences and their spatial distribution is critical when considering variations in static reservoir properties and their relation to dynamic well performance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 teacher head, 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".