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Record W90016129 · doi:10.5006/c2008-08039

Evaluation of Anticorrosion Coatings for High Temperature Service

2008· article· en· W90016129 on OpenAlexaboutno aff
M. Batallas, Puja Singh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceMetallurgyCorrosionService (business)Business

Abstract

fetched live from OpenAlex

Abstract The continued development of the oil sands in northern Alberta Canada has led to increased use of thermal recovery methods such as Steam Assisted Gravity Drainage (SAG-D) for extraction of the bitumen from deep reserves. The transportation of this heated bitumen to the processing facilities generally requires the use of insulated pipes capable of withstanding internal service temperatures as high as 150°C. Based on existing Canadian regulations, it has been necessary to use anticorrosion coatings under the thermal insulation on buried pipelines intended for petrochemical service. Traditionally, anticorrosion coatings such as cold applied tapes, 2 or 3 layer polyethylene systems, and also epoxy coatings have been available for insulated pipelines operating at temperatures of up to 110°C. The introduction of new heat resistant insulating foams capable of withstanding much higher operating temperatures of at least 150°C has led to the need to also identify compatible anticorrosion coatings. One such material that has been successfully qualified for use with high temperature insulation systems is an epoxy-based coating. In order to evaluate this coating, a variety of methods were used which included; elevated temperature cathodic disbondment testing, thermal gravimetric analysis (TGA), dynamic mechanical analysis (DMA), accelerated heat ageing, and also standard coatings tests specified by the Canadian standard CSA Z245.20. The results of this investigation support the recommendation that the selected coating can withstand operating temperatures of at least 150°C for the expected 30-year life in a typical insulated pipeline.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.511

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 head0.030
GPT teacher head0.261
Teacher spread0.231 · 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

Citations11
Published2008
Admission routes1
Has abstractyes

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