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Record W2910742304 · doi:10.5006/c2018-10924

High-Performance Polyurethane Elastomer Coatings - Lessons Learned from 6 Years in Oil Sands Service

2018· article· en· W2910742304 on OpenAlexaboutno aff
Michael Magerstädt, Larry H. Lai, Thorsten Raeth, Stefan Förster, Daniel Plourde, Rainer Altmeppen, Ali Sarvi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicErosion and Abrasive Machining
Canadian institutionsnot available
Fundersnot available
KeywordsPolyurethaneElastomerMaterials scienceComposite materialPetroleumService (business)Petroleum engineeringEngineeringGeologyBusiness

Abstract

fetched live from OpenAlex

Abstract Six years have passed since the first installation of spools with custom-designed internal abrasion protection coatings made from high-performance polyurethane elastomers. These coatings, which do not require an intermediate layer of rubber or neoprene have become an essential tool in oil sands tailings and hydrotransport lines. Useful life of steel pipes is extended significantly; often by factors of 10 or even more. With the advent of intelligent coatings incorporating wear sensors three years ago, much wider use of high-performance polyurethane elastomer coatings became possible. Such intelligent coatings transmit wear information to the outside of the pipe without the need for a hole through the pipe wall. This presentation will give an overview on lessons learned with these coatings in Alberta oil sands, from material properties, operating conditions, wear data, to useful life and cost savings.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.999

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)0.0120.004

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 head0.027
GPT teacher head0.267
Teacher spread0.240 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations2
Published2018
Admission routes1
Has abstractyes

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