Square Motor Used to Reduce Drag while Maximizing Penetration Rates
Bibliographic record
Abstract
Abstract Extended power section motors have been used, together with low-viscosity muds; to dramatically increase instantaneous penetration rates in tectonically stressed areas of Western Canada. However, these penetration rate increases have been accompanied by doglegs induced by steep formation dips and faulting. Steering, required to remain on course, induces further doglegs. The result of such a tortuous wellpath has been high drag. In order to reduce the drag, motor drilled holes have been reamed on time consuming, dedicated trips made with square drill collars. A square motor has been developed to combine the penetration rate benefits of extended power section mud motors with the stiffness characteristics of a square drill collar. The square motor has been used in the drilling of wells in a number of tectonically stressed fields, and has demonstrated: Instantaneous penetration rates equal to or better than those obtained with conventional (round) motors Reliable directional characteristics, especially given the tectonically stressed state of the formations being drilled Significant reduction in drag when tangent sections are drilled with square motors rather than steered with directional motors Elimination of reaming time through square motor drilled intervals
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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 | 0.000 | 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) | 0.002 | 0.001 |
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".