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Record W4411698618 · doi:10.1002/9781119909668.ch52

Telluric Influence on Pipelines

2025· other· en· W4411698618 on OpenAlexaff
D. H. Boteler, L. Trichtchenko

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsHudbay Minerals (Canada)
Fundersnot available
KeywordsPipeline transportGeologyForensic engineeringPetroleum engineeringEnvironmental scienceEngineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

Telluric currents are the electric currents produced in the ground by natural geomagnetic field variations. The currents and corresponding electric fields are primarily induced by changes in the Earth's magnetic field, which are usually caused by interactions of plasma eruptions propagating from the Sun and affecting the Earth's natural electromagnetic environment. In pipelines, telluric currents are responsible for variations in pipe-to-soil potentials that interfere with pipeline surveys and might contribute to pipeline corrosion. This chapter provides a review of current knowledge accompanied by an explanation of the phenomenon and the methodology for assessment and mitigation/compensation of telluric effects on pipelines. The review includes details of the geomagnetic sources of telluric activity, the influence of the Earth's deep conductivity structure, and how specific pipeline features affect a pipeline's response to telluric electric fields. Examples of measurements and modeling results are presented. Knowledge gaps and open questions are summarized.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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