Failure to launch: Fate of the Second White Specks as a resource play was preordained by its Late Cretaceous depositional setting
Bibliographic record
Abstract
ABSTRACT We compare the Second White Specks and Belle Fourche Formations (2WS/BF) of Alberta, Canada to the Eagle Ford Formation shale (EF) of southern Texas and, to a lesser extent, the Tuscaloosa marine shale (TMS) of Louisiana and Mississippi. These units were deposited during the same Late Cretaceous (Cenomanian–Turonian) eustatic rise and highstand, and all are prolific source rocks. Our aim was to define the reasons why attempts to develop the 2WS/BF as a resource play were unsuccessful. We propose that failure was controlled by the combined effects of three geologic factors—reservoir quality, organic richness, and completion quality—all of which stem from the depositional setting and history of the interval. Because it was deposited in close proximity to a major source of fine-grained siliciclastic sediments, the 2WS/BF has a higher clay-mineral content than the EF, the latter being deposited in a relatively clastics-starved setting. Porosity loss, through compaction, was therefore greater in the 2WS/BF, and the higher clay-mineral content of that play, combined with the stratigraphic stacking, led to completion problems such as proppant embedment and out-of-zone growth of hydraulic fractures. The TMS was likewise challenged as a resource play because of its high clay content. The original organic content of the 2WS/BF was neither as high nor as oil prone as that of the EF because of paleoenvironmental conditions at the seafloor at the time of deposition. This retrospective analysis identifies depositional setting as a first-order control on the potential of a source rock to form a resource play.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".