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Record W2046059868 · doi:10.1680/geng.2009.163.4.197

Pull-in force predictions for horizontal directional drilling

2010· article· en· W2046059868 on OpenAlexaff
A. C. D. Royal, Maria Anna Polak, C. D. F. Rogers, D.N. Chapman

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Geotechnical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Waterloo
FundersEngineering and Physical Sciences Research Council
KeywordsTrenchless technologyDirectional drillingDrillingPipeline transportBoreholeMarine engineeringEngineeringLine (geometry)Electrical conduitMechanical engineeringPetroleum engineeringGeologyGeotechnical engineeringGeometry

Abstract

fetched live from OpenAlex

Horizontal directional drilling is a ‘trenchless technology' that has been used successfully to install pipelines with minimal surface disruption. It has been developed to such an extent that pipelines 2·5 km long and with diameters approaching 2000 mm have been installed, and it has the potential to install pipelines over even greater distances. A study has been undertaken to investigate the use of horizontal directional drilling to create conduits capable of housing electrical cables over long distances (arbitrarily taken as 10 km). This paper presents the results of an investigation into the pull-in forces associated with long-distance horizontal directional drilling installations with different pipe diameters using the Pipe-force 2005 model. The outcomes of the study suggest that if the creation of the borepath can be controlled adequately, then it is theoretically conceivable that pipes of 600 mm diameter could be installed over the maximum distance considered in this project using conventional drilling rigs. However, if the borepath deviates from the desired line and level, or partial borehole collapse occurs, the pull-in force required to install the pipe would increase to a level that would jeopardise installation with currently available equipment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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.

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

Citations2
Published2010
Admission routes1
Has abstractyes

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