The Application of Combination Technology of Jet and Fracture in Mongolia Tamsag Oilfield
Bibliographic record
Abstract
Mongolia Tamsag oilfield formation permeability is low, mainly, it’s all wells need to fracture. Because using swabbing way to remove the fracturing residue can lead the shallow depth and intensity suction, small output of raffinate, slow drainage velocity, it will waste a lot of time. So these problems will lead to the residue cause secondary precipitation pollution for oil reservoir problems. However hydraulic pump quick return process is suitable for Mongolia Tamsag oilfield’s requirements. Meanwhile Tamsag oilfield corollary use fractured jet pump, transduction pump leather, and optimistically choose packers of large drift diameter fracturing. Field application proves that this process can meet the requirements of timely return after fracturing. It not only decreases manual labor intensity, becoming more safe and reliable, but also has obvious advantage in quick withdraw and broken down which efficiently prevent the secondary formation pollution which meets production need.
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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 | 0.000 | 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 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".