Application of Isotope Geochemistry Methods for Characterization of Unconventional Reservoirs on the Example of Bazhenov and Domanic Formations
Bibliographic record
Abstract
Summary Isotope compositions of carbon, hydrogen, sulfur, nitrogen and oxygen have been measured for several hundred samples of rock, fluid and gases of Bazhenov and Domanic formations. Core samples and fluids have been sampled at the oilfields located in different regions of Western Siberia (Salym arch, Frolov depression, Elisarov depression, Nurolskaya depression) and South Ural (Tatar arch and Bashkir arch). Results of the isotope study have been used for the characterization of reservoirs and analysis of oil generation processes. It was shown that isotope data bring new insight into understanding sedimentation, diagenesis and catagenesis, including new knowledge on genesis of organic matter, changes of redox conditions during sedimentation, data on the level of catagenesis, conditions of accumulation and migrations of hydrocarbons in different lithotypes of studied cross sections.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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 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".