Effect of Fracture Intensity and Longitudinal Dispersivity on Mass Transfer in Fractured Reservoirs
Bibliographic record
Abstract
Abstract Accurate modeling of fluid transport in fractured reservoirs is challenging because of their heterogeneous nature. One of the sources of heterogeneity is the fracture spacing. In this study, an analytical model which describes the effect of fracture intensity on mass transfer during an advective-dispersive process in dual porosity systems is introduced. The mass transfer process is modeled using different distributions of the fracture network that results in a various range of matrix-fracture connectivity inside the reservoir and resembles the variable flow path for the mass transport. In this work probable fracture network distributions in the field are tested and the effect of the matrix block size distributions and longitudinal dispersivity inside the fracture network on the transport of the injected tracer in the reservoir is obtained. The model consists of an infinite acting reservoir with planar matrix blocks and a radially divergent continuous injection system. Results show that using the breakthrough time of the injected tracer, the stored mass inside the reservoir as a function of fracture intensity and the dispersivity coefficient can be estimated. Analytical solutions are provided and can be used to study the tracer transport in fractured reservoirs with variable fracture intensity.
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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 | 0.000 | 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 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".