Research on the Initiation Mechanism of Artificial Fracture in the Fractured Reservoir
Bibliographic record
Abstract
The low permeability reservoir which has a significant proportion of oil and gas reserves is the focus on mining in the future. Hydraulic fracturing technology is a major means in achieving such reservoir exploitation. In this paper, the initiation mechanism of artificial fracture in the fractured reservoir is studied. Also, the crack condition is given. Then, the influence factors of initiation mechanism of artificial fracture are analyzed and the theoretical models are further verified through the field application. The results show that: for fixed size cracks, the integrating factor decreases with the increasing of the crack spacing; for fixed crack spacing, the integrating factor increases with the increasing of the crack size; for the same d/a, the larger the size of crack is, the more easily crack extends. By studying on the initiation mechanism of artificial fracture of fractured reservoir, provide theoretical basis for hydraulic fracturing technology being applied in low permeability fractured reservoir. So that the efficient development of special oil and gas reservoirs can be achieved. Key words: Fractured reservoir; Artificial fracture; Initiation mechanism; Field application
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".