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Record W2122437167 · doi:10.1139/t03-090

Experimental investigation of pull loads and borehole pressures during horizontal directional drilling installations

2004· article· en· W2122437167 on OpenAlexvenueno aff
Michael Baumert, Erez N. Allouche, Ian D. Moore

Bibliographic record

VenueCanadian Geotechnical Journal · 2004
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsBoreholeDirectional drillingDrillingCasingCurvatureGeotechnical engineeringDrill pipePipeline transportGeologyEngineeringStructural engineeringPetroleum engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Installation loads during 19 commercial horizontal directional drilling (HDD) installations were monitored using new in-hole monitoring cell technology. Fifteen of these installations were part of an 8.3 km section of 203 mm diameter by 4 mm wall thickness steel gas distribution line. The predominant soil type was silty clay, and similar construction practices were employed for all installations. The resistance to pipe advancement within the bore was found to increase in an approximately linear manner, varying from 0.20 to 0.31 kN/m, with a mean of 0.26 kN/m and standard deviation σ x = 0.03 kN/m. Local peaks caused by borehole curvature or borehole anomalies were found to dissipate, usually within 10 m, before the underlying linear trend resumed. The remaining four installations were evaluated to determine the relationship between measured pull head load and borehole pressure. The correlation observed provides new insight into the factors that contribute to pulling forces during HDD installations. Based on the findings, a conceptual framework is proposed for an improved HDD design model. The framework outlines two development stages: stage 1, based on tabulated measurements of pulling force per length of pipe inserted; and stage 2, involving significant modifications to an existing prediction model to better represent field conditions.Key words: pipelines, tensile loads, mud pressure, directional drilling, load monitoring, pressure monitoring.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.628

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 head0.006
GPT teacher head0.185
Teacher spread0.179 · 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

Citations30
Published2004
Admission routes1
Has abstractyes

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