Research on the Reasonable Development Technology Policy of Horizontal Well in Shallow Layer and Super Heavy Oil Reservoir
Bibliographic record
Abstract
Horizontal well is an effective technique for developing the shallow layer and super heavy oil reservoir, and the development technology policy plays a vital role in the success or failure of the horizontal well deployment and development. According to the shallow buried depth, thin thickness, strong heterogeneity, high oil viscosity, large differences in viscosity of N7+8 block reservoir, according to the distribution characteristics of different viscosity, the N7+8 block is divided into 4 different regions of the different viscosity, the horizontal well steam development rules in the different viscosity region were researched by using numerical simulation method, the sensitivity of geological parameters, development design parameters and steam injection parameters influence the steam soak effect of horizontal well were analyzed and optimized, technical limits of key factors and reasonable design parameters, steam injection parameters were determined, which provide the decision basis for enhancing oil recovery, further infilling horizontal well and effectively transforming the development mode. Key words: Super heavy oil reservoir; Horizontal well; Development technology policy; Steam injection parameter; Numerical simulation
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".