Analysis of Factors Affecting the String Cross-Through Capability Within Long Horizontal Section in Shale Gas Drilling
Bibliographic record
Abstract
Along with the further petroleum exploration and development, the conventional oil and gas resources cannot meet the needs of rapid economic development now. Shale gas energy as an important supplement to the existing traditional energy is one of the main successive energy in the future which has very important significance for our country to realize diversified energy security strategy. In the course of drilling and developing horizontal wells in shale gas reservoirs, when it comes to hole trajectory control technology based on guide screw drill in horizontal well drilling with long horizontal section, there are some problems that string extension ability will be limited through horizontal section and low drilling efficiency will happen in later period which is not good for economic and efficient development of shale gas. This article focused on the researches of limit mechanism of the influence factors such as assembly, drill string buckling, weight on bit, well depth profile, and slope, and finally the extension ability in horizontal section was effectively improved by optimizing the well bore profile design and optimizing drilling parameters.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".