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Record W2488301674 · doi:10.3968/8293

Design and Application of a Rock Breaking Experimental Device With Rotary Percussion

2016· article· en· W2488301674 on OpenAlexvenueno aff
Lingchao Xuan, Zhichuan Guan, Jingjiao Li

Bibliographic record

VenueAdvances in petroleum exploration and development · 2016
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsDrillingPiston (optics)Rate of penetrationPercussionEngineeringPetroleum engineeringMechanical engineeringMarine engineeringAcoustics

Abstract

fetched live from OpenAlex

The rotary impact drilling technology is one of the effective speed-up methods in drilling deep well. The dynamics model of the impact process and rock breaking shows that the peak value of the impact load is affected by the spring compression, and the impact time increases with the piston’s mass increasing. The stress wave in rock is proportionate to the impact load. A new rock broken experiment device with rotary impact was designed, and the device can measure and adjust the WOB, rotary rate, impact load and frequency, also has the ability of rock breaking for conventional and rotary percussion drilling. The rock breaking experiments show that the rotary percussion drilling technology can improve the rate of penetration of PDC bit significantly; increasing the value of impact load can improve the ROP significantly. When different rotary percussion drilling tools used in different formations, optimizing the WOB and rotary rate for fast drilling is very necessary. The influence of the rotary impact drilling on the rock broken can be studied by the experiment device, which is helpful for the design and optimization of the percussion tools.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.217
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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