Seven-stage complex horizontal well 3D borehole track design
Bibliographic record
Abstract
In this paper, a three-dimensional borehole track design is carried out for complex horizontal wells. Based on the two-dimensional borehole track model, a seven-segment ideal three-dimensional borehole track model is established by considering the parameter range, frictional torque and resistance, and borehole track positioning hit rate. After that, Monte Carlo simulation is applied to find the optimal design of the borehole track. Based on fuzzy comprehensive evaluation, horizontal well drilling completion acceptance criteria are established. Three evaluation factors of cost, risk, and difficulty of construction are determined to constitute the factor set; five rubrics of excellent, good, moderate, qualified and unqualified are used to constitute the evaluation set. After deriving the affiliation matrix, the final evaluation criteria are determined by using the fuzzy judgment matrix to calculate the superiority and inferiority ratings of the mechanical probability model compared with the developed criteria.
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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 | 0.001 |
| 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".