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Record W4245969450 · doi:10.2523/126211-ms

HSE Training and Competence Development at Petrobras University

2010· article· en· W4245969450 on OpenAlexaboutno aff
Roberto Emery Trindade, Durval de Queiroz

Bibliographic record

VenueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production · 2010
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCitationCompetence (human resources)Library scienceExhibitionBusinessPolitical scienceComputer scienceManagementArchaeologyHistory

Abstract

fetched live from OpenAlex

HSE Training and Competence Development at Petrobras University Roberto de Trindade; Roberto de Trindade Petrobras S.A. Search for other works by this author on: This Site Google Scholar Durval Vilar Queiroz, Jr. Durval Vilar Queiroz, Jr. Petrobras S.A. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production, Rio de Janeiro, Brazil, April 2010. Paper Number: SPE-126211-MS https://doi.org/10.2118/126211-MS Published: April 12 2010 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Trindade, Roberto de, and Durval Vilar Queiroz. "HSE Training and Competence Development at Petrobras University." Paper presented at the SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production, Rio de Janeiro, Brazil, April 2010. doi: https://doi.org/10.2118/126211-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search Abstract Investment in training and education merges with the history of Brazilian company Petrobras, one of the main energy corporations of the world. Training of Brazilians to develop the national oil industry started in 1938 when many were sent to specialise in universities not only within Brazil but also abroad to courses in countries such as USA, Canada and UK. Environmental and industrial accidents that occurred in early 2000 helped push Petrobras towards the objective of transforming HSE – Health, Safety and Environment as a value to the whole working force. Actions toward this objective include strict health and safety rules, monitoring of environmental impacts, running of cleaner and more energy efficient processes, reduction of residues and the introduction of mandatory HSE guidelines to the entire company. The present paper shows that Petrobras University plays a relevant role organising and operating several training activities on Health, Safety and Environment. This paper also shows the background of Petrobras University and highlights courses on HSE that are available to the employees. Results associate a positive relationship of the investment in training and education with economic, social and environmental performance. It is concluded that Petrobras University is an important strategic player of the company to achieve HSE as a true value to the workers. Keywords: guideline, upstream oil & gas, petrobras, competence development, social responsibility and development, participant, university, health, safety, society of petroleum engineers Subjects: HSSE & Social Responsibility Management, Safety, Environment, Sustainability/Social Responsibility, Social responsibility and development Copyright 2010, Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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)0.002
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.207
Threshold uncertainty score0.694

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2070.088

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 head0.029
GPT teacher head0.215
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

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
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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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