Determination of Residual Oil Distribution after Water Flooding and Polymer Flooding
Why this work is in the frame
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Bibliographic record
Abstract
In this study, we want to seek for the results from a study on a reservoir with a single sand body and vertical segmentation to simulate each sand layer individually by using FCM and Petrel software. The results indicated that the black oil simulator E100, the Cartesian coordinate system, the angular point grid and the full implicit solution were used in historical fitting. And plane by 50 for step, the plane was divided into six grids and was vertically divided into six simulation layers. After grid coarsening, the total is 181170. For the oil reservoir block, the fitting error of the cumulative oil production history is 8.65% and the fitting error of the moisture content is 3.42%. For single-well oil production, the mean error is 7.36%, and the mean fitting error of the moisture content is 4.37%. The residual oil remained on top of the thick oil reservoir channel sand after water flooding and is 50.63% of the total surplus geological reserves. Thus, water flooding can improve oil recovery in highly permeable zones. After polymer flooding in a thick reservoir with a top layer of channel sand, the residual oil was 39.26%, which is 11.37% lower than that after water flooding.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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