Feasibility Study on Resonance Enhanced Drilling Technology
Bibliographic record
Abstract
With the increasing of well depth, the hardness of rock increases which will lead to rock is difficult to be broken. Therefore, Resonance Enhanced Drilling as one of new efficient drilling technologies is presented to improve the efficiency of drilling. The paper is focused on the feasibility study on Resonance Enhanced Drilling, showing the results of the numerical analysis and presenting the implementation methods of the technology. Two kinds of numerical simulations are performed, including modal analysis and harmony analysis of rock and indenter. Also, the excitation frequency is optimized under the actual operation conditions to analyze whether Resonance Enhanced Drilling can be achieved. Our investigations confirm that both rock and drill bit can be resonant, and there are different resonant frequencies and vibration modes in different orders which are only related to their inherent characteristics. In addition, when the rock drilled is resonant and easily broken, the drill bit will not be destroyed. As a result, the Resonance Enhanced Drilling can be achieved and the optimization of excitation frequency is the resonant frequency of rock drilled. We suggest that although there are some methods and apparatus have been proposed to achieve resonance drilling technology, more researches are still needed to be conducted to further understand the rock breaking mechanism and promote the realization of the Resonance Enhanced Drilling.
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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 | 0.001 |
| 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".