Differentiating Amalgamated Parasequences in Deltaic Settings Using Ichnology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The Wall Creek Member in the Salt Creek oilfield at first glance appears to be a thick, undifferentiated sandbody, in marked contrast to its nearby outcrop counterpart. The signature of this unit in gamma and SP well logs is “blocky”, superficially resembling incised valley fill deposits. A closer examination, which integrates physical sedimentology and ichnology of 1200m of cores from 40 wells, demonstrates that the apparently blocky depositional unit has no genetic or scale difference with the deltaic parasequences separated by distinct prodelta shales encountered in the outcrop. Clear changes in ichnofacies allow us to subdivide the blocky unit into at least five shoaling upward deltaic parasequences punctuated by subtle expressions of a relatively more distal though sand-prone facies. Subsurface correlation indicates progradation of the parasequences towards the southeast. Cores from fifteen wells were scrutinized in greater detail to accurately record the bioturbation intensity, ichnological diversity, trace fossil size, and ichnological suites. This detailed facies analysis yields 4 facies associations. They are, river-dominated deltaic deposits (Facies Association 1), wave-/storm-influenced deltaic/shoreface deposits (Facies Association 2), tidally influenced deltaic deposits (Facies Association 3) and marine transgression related deposits (Facies Association 4). Of these, facies associations 1-3 correspond to delta lobes and shorefaces that show varying influences of river, waves/storms and tides.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it