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Record W4405840203 · doi:10.1002/9781394271962.ch8v

Pyrophoric Ignition Hazards in Refining and Chemical Plants

2024· other· en· W4405840203 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicCombustion and Detonation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsRefining (metallurgy)Ignition systemEnvironmental scienceChemistryProcess engineeringEngineeringThermodynamicsPhysicsPhysical chemistry

Abstract

fetched live from OpenAlex

This chapter covers the hazards of pyrophoric materials in refining and chemical plant operations, the chemistry of pyrophoric material, and the expected reaction with air, for example, when opening process equipment. It also reviews examples of where pyrophoric materials may be found in our plants and covers incidents involving the ignition from pyrophoric materials. As in prior chapters, the lessons learned from these incidents are discussed along with methods and practices to minimize the potential for ignition of pyrophoric materials. Due to the extreme nature of these incidents, special focus is on the potential ignition of tower or vessel internals such as trays and metal packing. One such incident occurred at the Sarnia, Canada refinery when vessel internals ignited shortly after the tower was opened for maintenance. Fortunately, there were no serious injuries; however, the tower collapsed due to the overheating of the vessel shell. This chapter is designed to make managers, supervisors, and operators aware of these hazards, especially those who may be assigned to unit turnaround activities. Included in this chapter are a series of procedures and precautions designed to help prevent this kind of incident from happening on their equipment. Most of these are simple to follow; however, they must be followed, or this kind of event can occur.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.080
Threshold uncertainty score1.000

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)0.0010.000

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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.

Study designNot applicable
Domainnot available
GenreOther

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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