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Record W4404370082 · doi:10.1115/pvp2024-125453

Analyses, Mitigations and Reflections From Hydrogen Stress Cracking Failure of a Duplex Stainless Steel Reactor Effluent Air Cooler (REAC) in Hydrocracker Service

2024· article· en· W4404370082 on OpenAlexaff
Allie Hosack, Oluwaseun Idowu, Jordan Barrass, Jorge Penso, Wesley Pudwill, Mitul Dalal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsDuplex (building)CrackingMaterials scienceEffluentHydrogenStress (linguistics)Nuclear engineeringStress corrosion crackingMetallurgyForensic engineeringWaste managementComposite materialEngineeringChemistryCorrosion

Abstract

fetched live from OpenAlex

Abstract During start up following an outage for a major turnaround, a Duplex Stainless Steel Reactor Effluent Air Cooler (DSS REAC) leaked. The REAC was in a hot high pressure separation circuit of a refinery hydrocracker unit. Following the leak, detailed failure investigation was completed that revealed that the leak had occurred because of hydrogen stress cracking of the REAC tube-tubesheet welds. While the susceptibility of DSS REAC welds to hydrogen stress cracking in the form of sulphide stress corrosion cracking has been previously attributed to specific features from manufacturing, for example, ferrite-austenite phase imbalance and high hardness, over the past few years there is a growing body of evidence of the REAC DSS material experiencing cracking due to hydrogen embrittlement damage. This is despite having recommended controls in place during the original manufacturing stages. This paper will discuss the case history of the leak on the DSS REAC, including the details of failure analyses and engineering evaluation conducted on the cooler. This paper will also discuss some of the mitigations that were put in place, as well as provide reflections on the mode and mechanism of the damage.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
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
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.295
Teacher spread0.264 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same topicNuclear and radioactivity studiesFrench-language works237,207