The Rapid Quantitative Description of the Remaining Oil
Bibliographic record
Abstract
At the late development stage of an oilfield, the distribution and potential evaluation of remaining oil is the key to comprehensive adjustment. Only if the location and quantity of the remaining oil is clear, can the targeted adjustment measures be made. Therefore, the quantitative description of remaining oil has become a significant issue to be solved in the middle-late period of oilfield development. In this paper, based on the concept of remaining oil, a new calculation principle of remaining geological reserves is determined - the difference between geological reserves and the cumulative oil production. The quantitative description of remaining geological reserves is refined into the single sand body. Moreover, based on the development condition of the study area, the remaining geological reserves distribution is described in phases. The new method is practically applied in a study area, of which the result is compared with the numerical simulation, and the precision is high. This method has good accuracy, can quickly quantitatively describe remaining oil distribution, and also has high practical value.
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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".