Bibliographic record
Abstract
The serious flooded area of Jin-45 Block began trial mining in 1984, Expericing conventional dry pumping, steam stimulation test and large-scale steam stimulation [1-2] . After nearly 30 years’ development with active edge and bottom water and sufficient energy, there is a high percentage of reserves and the plane and vertical plane encryption, can’t be adjusted. The condition of edge and bottom water is serious, average recovery rate of water of producing wells is high, production decline amplitude increase, exposing a series of problems. Referring to the steam stimulation turn to steam drive experience of pilot test area, building geologic model with Petrel software, setting up edge and bottom water reasonably, making history matching and project estimate, analyzing characteristics of steam flooding of the flooded area. Providing theoretical guidance and basis of turning to steam flooding of serious flooded area [4-6] . Key words : Flooding; Steam flooding; Numerical simulation; 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".