Large-scale Reservoir Simulations on Distributed-memory Parallel Computers
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Bibliographic record
Abstract
This paper presents our work on developing parallel reservoir simulators for modeling of fluid flows in porous media on distributed-memory parallel systems and studying the scalability of our reservoir simulators. These reservoir simulators are based on our in-house parallel platform, which provides grids, data, distributed-memory matrices and vectors, linear solvers, preconditioners, and well modeling. A standard black oil simulator, a two-phase oil-water simulator and simulators for extended models, such as polymer flooding and naturally fractured reservoirs, have been implemented. New preconditioners have been designed for the black oil and compositional models. Benchmarks show that the results from our parallel simulators match those from commercial simulators. Our parallel simulators are thousands of times faster than sequential simulators, and they have excellent scalability.
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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 | 0.000 |
| 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 it