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 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 | 0.001 |
| 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".