Bibliographic record
Abstract
During the work a 3D model of oil migration for Jurassic petroleum system in the area of interest was created. Modelling was based on the MPath software developed by the Permedia Group, Ottawa, Canada.An integrated approach to the evaluation was taken including analysis of geochemical dataset, and geological information. 3-D cube with grid resolution 500x500 m was constructed from the map horizons built on the base of interpretation of 2-D seismic realized within the studied territory during resent 20 years.In order to provide complex analysis of petroleum system a number of its elements were evaluated: distribution and quality of source rock, including its richness and maturation of source rock; thermal history of the basin; quality and distribution of reservoir rocks including analysis of capillary threshold pressures; paleostructural setting of the territory during migration history.According to the geochemical source rock and oil correlation, Bazhenov formation was considered as a principle source rock for the studied area.Expulsion modelling demonstrates that main kitchen areas are confined to depressions located in the eastern and north-eastern part of the territory – Yuzhno-Koltogor depression and Ilyahskiy Flexure. The main migration scenario suggests that that oil migrated stratigraphically downwards from Bazhenov source rock, then lateral migration in fill-spill manner occurred in the Upper Vasyugan J1 carrier beds.Model obtained shows good predictive power in reconstruction of secondary migration processes and demonstrates rather good correlation with real data. Moreover, model obtained allows proposing increase in STOOIP for several low studied
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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) | 0.000 | 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".