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Record W263738382 · doi:10.5006/c2008-08027

Insights into Atlas Cell Testing for Selection of Linings for Oil and Gas Production Vessels and Tanks

2008· article· en· W263738382 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Diagnostics and Reliability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAtlas (anatomy)Selection (genetic algorithm)Petroleum engineeringProduction (economics)Oil productionEnvironmental scienceForensic engineeringMarine engineeringEngineeringComputer scienceGeologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract The Atlas cell test (NACE TM0174) and the autoclave test (NACE TM0185) are laboratory tests that are regularly used to select internal linings for vessels and tanks used in processing oil and gas production fluids. The results from the two tests are often quite different and in some notable instances the correlation between Atlas cell test results and field performance is poor. This paper documents our investigation of the various operational details of the Atlas cell test and their influence on the nature of the cold wall effect created in the Atlas cell. A number of commonly used tank linings were evaluated under Atlas cell conditions. The results are used to offer an explanation regarding some of the contradictory behaviour of coatings in Atlas testing, autoclave testing, and field performance.

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.

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 score0.319
Threshold uncertainty score0.302

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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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

Quick stats

Citations3
Published2008
Admission routes1
Has abstractyes

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