Analysis of the Fracturing Sequence Effect on the Multi-Fracture Propagation in the Horizontal Well of the Tight Sandsto
Bibliographic record
Abstract
Summary The complexities and challenges of unconventional reservoirs necessitate the research on the hydraulic fracturing exploration and development. Multi-stage clustering hydraulic fracture of the horizontal well is an important technique for enhanced oil recovery of low permeability reservoir as it extends the drainage radius. The stresses among perforation clusters is essential for multiple clusters staged hydraulic fracture of sandstone horizontal well. Results from mining field demonstrates that fracturing sequences determine the multiple-fracture distribution. In this paper, we analyzed fracture distribution of the four injection points sequential fracturing by the extended finite element method according to fluid-solid coupling and rock fracturing mechanics. The simulation results show that the fracturing sequence determines the induced stress distribution, thus affecting the effective length of the cracks. Comparing the fracture distribution of the four point sequential fracturing in the horizontal well, we found the optimize way of the sequential fracturing to decrease the impacts of the induced stress on hydraulic fracturing as it increases the possibility of effective cracking.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".