Pressure Transient Behaviors of Vertical Fractured Wells With Asymmetric Fracture Patterns
Bibliographic record
Abstract
Abstract It is well proven that hydraulic fracturing may cause a complex fracture network or an asymmetric fracture pattern. This study aims to develop a model to analyze the pressure transient behaviors for asymmetric fracture patterns. Some physical models were built to describe the asymmetric of fracture length and conductivity. In order to solve the model, each fracture was discreted to several segments and each segment was treated as a line source. According to theory of superposition, we coupled the flow rate and pressure in the boundaries and the middle point of segments. After a Laplace transform to the mathematical model, the flow rate of each line source can be calculated. We used Stehfest inversion algorithm to determine the simulation results in a real-time domain. The calculation results show that the asymmetry of fracture patterns or properties can make a significant change in pressure and derivation curves. If only primary fracture is considered, it is difficult to differentiate the flow period. If the fracture patterns contain several secondary fractures, the derivation curve shows an obvious pseudo-radial flow in the early period.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".