Potential to Increase Oil Reserves Due to Non-used "Lost" Deposits Located at Presently Operated Fields of OAO "Samaraneftegas"
Bibliographic record
Abstract
Abstract Presently the objective to expand the resource basis of the now-operated hydro-carbon reserves remains rather acute. The experience in building-up the oil reserves is given on the basis of revealing previously non-operated reservoirs at the field that are presently operated. The practical efficiency of considered approach is proved. The search and start-up of these now not-operated reservoirs allows to build-up the amount of active reserves and to produce oil using the low-cost measures. The paper presents the basic results of a system work with the same subject for the last two years. In 2010 they have opened and commissioned 6 new reservoirs at 5 fields that contain 1,364 million of tons of recoverable oil; the growth in oil production rate has made 843 t/d. In 2011 they have opened 14 new reservoirs at 13 fields, of which 11 pools were included into state balance. The build-up in recoverable reserves by industrial category C1 has made 1,681 million tons, the oil production rate growth - 801 t/d.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 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".