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Experimental Investigation Examining Influence of Burial Depth on Stability of Horizontal Boreholes in Sand

2020· article· en· W3007095281 on OpenAlexaff
Haitao Lan, Ian D. Moore

Bibliographic record

VenueJournal of Geotechnical and Geoenvironmental Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsBoreholeGeologyGeotechnical engineeringDrillingDrilling fluidTrenchless technologyInfiltration (HVAC)Pore water pressureEngineeringPipeline transportMaterials science

Abstract

fetched live from OpenAlex

Horizontal directional drilling (HDD) is now widely used for pipe installation by the trenchless industry. Horizontal borehole stability under excessive mud pressure can be a concern during the drilling processes. The Delft equation has been applied to calculate the maximum allowable mud pressure, but the results are usually not safe. Meanwhile, little experimental evidence is available in the literature to examine the relationship between the maximum mud pressure and different burial depths, or to explain the mud flow paths through the soil up to the ground surface. Therefore, a series of mud loss experiments using different burial depths in sand have been undertaken. An example of mud pressure history along with the development of cracks and a shear plane reaching the ground surface were observed. The manner in which maximum measured mud pressures Pmax rose with increasing burial depth was quantified (Pmax rises from 17 kPa with H/D=7.5, a ratio of the distance from the ground surface to the springline H and borehole diameter D, to 181 kPa with H/D=31.5). In addition, two test sites were excavated to explore the mud infiltration zones. These show that a clear shear failure plane developed extending from near the borehole to the ground surface. Contractors and consultants often estimate Pmax using the Delft equation, but this equation overestimated pressures compared to the experimental results by 90%–170%. These discrepancies are explained. In addition, earth pressure sensors (null gauges) were buried at three times the borehole radius below the boreholes in the experiments to measure axial, radial, and hoop stresses. These data were compared to the closed form theoretical solutions and confirmed the influence of the initial geostatic (K0) stress conditions on stress histories.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.709

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 head0.012
GPT teacher head0.187
Teacher spread0.175 · 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 designBench or experimental
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

Citations16
Published2020
Admission routes1
Has abstractyes

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