Utilizing of <i>In Situ</i> Combustion Process in Xinjiang Oil Field through Analysis of Produced Fluids
Bibliographic record
Abstract
The tests of domestic In-Situ Combustion began in 1960s, with smaller and slower development. The technology has been further developed in recent years. There are five pilot projects, which increase more than 60,000 tons of crude oil. X block of Xinjiang Oil Field has been ignited since December of 2009. With the development of the In-situ Combustion technology, the use of analysis of produced fluids is very necessary, which provide theoretical basis for the commencement of the next steps. We can draw conclusion through the analysis of produced fluids: the success of ignition; the adequacy of combustion; reactions at high temperature or low temperature; the forward direction and location of fire front. Analysis of produced fluids for Xinjiang Oil Field determine clearly the ignition is successful and the way forward of the fire-drive front.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".