Linking Reservoir Simulators with Fracture Simulators
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Bibliographic record
Abstract
Abstract Reservoir simulation is currently used as the primary technique to simulate the behavior of almost all types of hydrocarbon reservoirs. Although several techniques have been developed to simulate the behavior of hydraulic fractures in reservoir simulators, a lack of accurate modeling of fracture geometry and fracture-fluid leakoff, as well as some other effects on hydraulic fractures (e.g., non-Darcy flow, dynamic fracture-conductivity behavior, stress-permeability dependence), is commonly observed in commercial-reservoir simulators. A different approach is presented in this paper to fill the gap between reservoir simulators and hydraulic fracture simulators. Software capabilities have been developed to import propped-fracture geometry, proppant-area concentration, and fracture-fluid leakoff from commercial, grid-based fracture simulators, into a reservoir simulator with capabilities to model multiphase, non-Darcy flow inside the fracture. This includes the effects of long-term dynamic conductivity, stress-permeability dependence, and condensates banking, etc. This functionality permits better modeling of fracture-flow behavior and gives better insight into the cleanup and productivity of fractured wells, which will in-turn allow the user to design better fractures.
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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) | 0.000 | 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 | 0.001 |
| 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 it