Simulation of Flow in Discrete Deformable Fractured Porous Media
Bibliographic record
Abstract
Abstract We investigate the coupled flow/geomechanics behavior of naturally fractured permeable rocks. Model and simulation of these processes is very challenging due to the multi-scale nature of the problems and the strong coupling that exists between flow and mechanical behaviors. We present a numerical procedure for the simulation of two-phase immiscible and compressible flow coupled to mechanical deformation in two-dimensional discrete-fractured porous media. To achive this coupling, we implemented an iterative procedure between the flow and the mechanical deformation simulations in which the fluid pressure in the fracture is used as boundary condition at fracture walls. The deformation problem is solved by discretizing the poroelastic equilibrium equations following a Galerkin Finite Element approach, while the flow part was solved using the discrete fracture control volume method. For the flow simulation fractures are assumed to be n-1 dimensional elements where n is the dimension of the overall problem. We considered continuity in capillary pressure and the implied discontinuity in saturation. The model introduces a coupling between mechanical behavior and flow properties by relating absolute permeabilities to the fracture deformation. This approach allows us to study the effects of the coupling on the oil recovery in stress sensitive fractured porous media. We present results for the simulation of synthetic cases to illustrate some of the geomechanical effects that may arise during oil recovery in fractured reservoirs.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".