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Record W2731524789 · doi:10.5006/c2017-09550

Challenges in Providing Effective Cathodic Protection to Thermally Insulated Pipeline Risers

2017· article· en· W2731524789 on OpenAlexaboutno aff
Stephen B. Gibson, Lyndon Crone, Michael Hogarth

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCathodic protectionPipeline (software)Materials scienceCorrosionNuclear engineeringMarine engineeringForensic engineeringMetallurgyElectrical engineeringMechanical engineeringEngineeringElectrodeElectrochemistryChemistry

Abstract

fetched live from OpenAlex

Abstract Cathodic protection (CP) is a method to mitigate external corrosion on buried metallic pipelines. Electrical isolation and electrolyte homogeneity are key factors that influence the performance of the majority of pipeline CP systems. Based on these factors, this paper details specific challenges encountered in the application of CP to thermally insulated pipeline risers in northern Alberta (Canada). The CP issues resulting from the use and installation of thermal insulation, resistance heating (heat trace), and other instrumentation are discussed. Specific pipeline construction practices that increase the probability of these issues occurring are also addressed. Through two typical case studies, the challenges of installation and meeting regulatory requirements are detailed. It is demonstrated that these challenges need to be considered prior to the installation of pipeline risers and associated corrosion protection system(s). Qualified, experienced and competent CP personnel should be directly involved with installations of CP systems, electrical insulation devices and any metallic instrumentation or cladding.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.524

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 head0.035
GPT teacher head0.243
Teacher spread0.209 · 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 designOther design
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

Citations1
Published2017
Admission routes1
Has abstractyes

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