A Numerical Simulation Study of the Impact of Microchannels on Fluid Flow through the Cement–Rock Interface
Bibliographic record
Abstract
Microchannels located at the cement–rock interface can form potential pathways for formation fluid leakage in oil and gas wells. The effects of geometric shape, quantity, and the inclination angle of microchannels on the flow through cemented rock samples were explored. Finite element 3D models were established based on modified micro-CT images obtained from physical samples. The volume flow rate through different sections of cemented rock samples was extracted after the fluid flow simulations. The numerical results showed that with the presence of a single microchannel, the total volume flow rate could be higher than that of the base case by as much as 9%. Microchannel contact and cross-sectional areas were found to be the two most important factors affecting the total volume flow rate. The overall volume flow rate increased with the increasing cross-sectional area, contact area, and inclination angle of the microchannel. The total volume flow rate for the cases with microchannels having the same cross-sectional area but different shapes increased with the decreasing number of sides of the shape (from circular to triangular) due to the increased contact area. The simulation results also revealed that the relative magnitude of the rock permeability may influence the volume flow rate through each section.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".