Development of a New Model for Saturation Calculation in Streamline Simulation
Bibliographic record
Abstract
Summary Streamline simulation has been developed as an alternative to conventional simulation. This method is based on the decoupling of the pressure equation from the saturation equation and the transformation of the 3D equation to 1D equations; therefore, it introduces an acceleration factor in respect to conventional simulation. Tracing the streamlines in the reservoir is a main step in streamline simulation. As a streamline is traced, it passes through many gridblocks; and the numerical approach to the 1D saturation equation requires picking up the saturation in each gridblock when a streamline traced. In this way, saturation vs. time-of-flight information is recorded for each streamline traced from injector to producer. This information is defined on an irregular time-of-flight space. Past efforts to move the saturation forward was based on transforming the irregular time-of-flight space onto a regular space. Transforming onto a regular 1D grid results in the averaging of saturations and represents one source of numerical diffusion in the streamline method. In this paper, we present a new method to move the saturation forward based on irregular time-of-flight space and compare the results with the common methods. The result of saturation with this method is more accurate, and the averaging of saturations and numerical diffusion are decreased.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".