Bibliographic record
Abstract
After 30 years’ steam huff and puff, Jin-45 block has been flooded seriously, to continue relying on the steam simulation has been difficult to have a effective development and it has been exposed a series of questions [1-3] . According to the serious reservoir water influx, the development of huff and puff can’t develop questions effectively and sustainably, it’s necessary to find an effective approach to take over it . In order to demonstrate the feasibility of steam-flooding in flooded area, we need to built geologic model by Petrel, to finish history matching and steam flooding test by CMG [4-8] . Optimize the layer series of development and the projects of injecting, finally to formulate the reasonable flooding project that to solve the replacing of the last stage’s development approach in water flooded reservoir turnover, to improve block recovery ratio, and provided reference of huff and puff into steam drive in water flooding [5-11] . Key words : Water flooding; Steam flooding; Numerical simulation; Scheme optimization
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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".