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Control of Penetration Rate in Distributed Parameter Rotary Drilling Systems

2021· article· en· W4205823395 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2021 IEEE Conference on Control Technology and Applications (CCTA) · 2021
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsWestern University
Fundersnot available
KeywordsControl theory (sociology)DrillingAngular velocityRate of penetrationRotational speedComputer scienceDrillPenetration (warfare)SIGNAL (programming language)Control systemObserver (physics)EngineeringPhysicsMechanical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper deals with control of vertical penetration rate in a spatially distributed rotary drilling system with limited measurements at the bottom level and unknown parameters of the rock-bit interaction. Rotational dynamics of the drilling system are represented using an infinite-dimensional model. A control algorithm which allows for regulation of the vertical penetration rate to a desired constant level is presented. The proposed algorithm has a cascaded structure and consists of two parts. First, a reference signal for the rotational velocity of the drill bit is derived based on the speed gradient method. Second, an algorithm for tracking of reference velocity signal by the distributed parameters rotational dynamics is designed which involves an infinite-dimensional reference model and a disturbance observer. Stability of the closed-loop system is proved using Lyapunov method. Efficiency of the obtained results is illustrated by simulations.

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.

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 score0.867
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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