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Record W1974305287 · doi:10.2118/125672-ms

Critical Elements of OSHA Regulated Process Safety Management Standard with Emphasis on Mechanical Integrity of Equipment and Process Safety Information

2010· article· en· W1974305287 on OpenAlexaff
Sandipan Laskar

Bibliographic record

VenueSPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsSiemens (Canada)
Fundersnot available
KeywordsDocumentationProcess safety managementHazardous wasteProcess (computing)Oil refineryRisk analysis (engineering)Safety standardsEngineeringFlammable liquidComputer scienceWaste managementReliability engineeringBusiness

Abstract

fetched live from OpenAlex

Abstract The U.S. Occupational Safety and Health Administration's (OSHA) process safety management (PSM) standard set requirements for the management of hazards associated with processes that uses highly hazardous chemicals (HHC) – e.g., chemicals that are toxic, reactive, flammable or explosives (Appendix A of the standard contain the complete list of HHC's). The PSM standards are set for oil refineries and chemical plants. As compared to a refinery, an upstream oil separation process is less complex but recent changes and advancements in oil production as well as separation techniques made process safety a critical component for safe operation of production facilities and gas plants. This paper proposes a new methodology for ensuring mechanical integrity of equipment - an important element of OSHA 1910.119. Proper documentation of relief system design and design basis is a major step in ensuring mechanical integrity. A key problem in relief device documentation is that the relief device datasheet does not include all of the overpressure scenarios considered in the original device specification. This paper proposes a basic change in the way relief systems are documented - a requirement in order to comply with OSHA 1910.119 and thereby describes a new methodology and a change in documentation to meet OSHA requirements and other industry standards (such as API 520/521, API-RP 75, 14J). The information presented below is intended to help operators better understand the applicable requirements for production facilities and gas plants, and to develop a plan to meet the industry standards. It is also intended that the information presented below will help in proper documentation and thereby enable a faster response in case of an emergency.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.046
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.003
Science and technology studies0.0030.004
Scholarly communication0.0120.005
Open science0.0060.004
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0050.009

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 head0.058
GPT teacher head0.358
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2010
Admission routes1
Has abstractyes

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