Changyuan Periphery Oilfield Economic Evaluation Method of Waterflood Potential Exploitation Measures
Bibliographic record
Abstract
Changyuan periphery oilfield stable form of 5.2 million production requires fine waterflood to reduce the amplitude of production decline and relieve pressure. However, the effiency of Potential Exploitation Measures were uneven, affecting oil production and economic benefits. So there need to economic evaluation for measures and make measures adjustment. Assessed two different blocks’ economic through evaluated single oil and water well measures and the combined effect of blocks measures. Single well economic evaluation of oil and water wells measures include: measures validity, income, the incremental input-output ratio, payback period and efficiency 5 indicators. The combined effect of blocks measures evaluate by index P. In Changyuan periphery five demonstration area as an example, analysised of the best and worst economic effect of each blocks, and obtain a comprehensive evaluation results of the demonstration area. The evaluation results were consistent with actual situation, it should be widely applied.
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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 | 0.001 | 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".