Bibliographic record
Abstract
The well Xin 123- Ping 80 is a development horizontal well located in XinZhao Oilfield of the NO.9 oil production plant of the PI5 layer. The original design of the well uses single arc section with a full angular rate of change of 8.47°/30 m. The wellbore orbit optimization technology is used in the field construction, and the design is optimized to the vertical well section by the computer software - the first build and hold wellbore - the second build section - the oil detection and landing - the horizontal section seven-section track profile, the full-angle change rate is optimized to 7°~8°/30m, and the 1.25° single-bend screw LWD measurement system is used in conjunction with the construction. The self-orientation of the inclined angle starts to enter the inversion hole assembly, using directional drilling and composite drilling. In a combined manner, a drilling construction is realized, the mechanical drilling speed of the inclined section and the horizontal section is improved, the drilling cycle is shortened, and the comprehensive drilling cost is saved. The successful implementation of this well has provided useful reference for such horizontal well construction, and accumulated valuable experience, which has important guiding significance to shorten the drilling period of horizontal well in Daqing oilfield and popularize the application of horizontal well technology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".