Depositional Environments and Reservoirs Prediction via Sequence Stratigraphy Principles, Dnieper-Donets Basin, Eastern Ukraine
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
Summary This study investigates the stratigraphic architecture and depositional environments of a cluster of four gas fields, with a focus on sequence stratigraphy and its application in identifying gas reservoirs. Using high-resolution 3-D seismic data, we performed a comprehensive sequence stratigraphy analysis on Carboniferous sedimentary strata, specifically targeting the identification of high-frequency sea level fluctuations ( figure 1 ) and their impact on sediment deposition. The study developed a sea-level curve model for the Carboniferous period, allowing the identification of key high-level sequences corresponding to distinct geological formations within the cluster.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it