Assessing Safety Culture with the Help of an Innovative Dedicated Interpretation Tool
Notice bibliographique
Résumé
Assessing Safety Culture with the Help of an Innovative Dedicated Interpretation Tool Philippe Blanc; Philippe Blanc Total E&P Search for other works by this author on: This Site Google Scholar Thomas Montaudoin; Thomas Montaudoin Total E&P Search for other works by this author on: This Site Google Scholar Alain Lafaille; Alain Lafaille Total E&P Search for other works by this author on: This Site Google Scholar Ivan Boissières; Ivan Boissières ICSI Search for other works by this author on: This Site Google Scholar Marcel Simard Marcel Simard University of Montreal 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-126591-MS https://doi.org/10.2118/126591-MS Published: April 12 2010 Cite View This Citation Add to Citation Manager Share Icon Share MailTo Twitter LinkedIn Get Permissions Search Site Citation Blanc, Philippe , Montaudoin, Thomas , Lafaille, Alain , Boissières, Ivan , and Marcel Simard. "Assessing Safety Culture with the Help of an Innovative Dedicated Interpretation Tool." 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/10.2118/126591-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 Significant safety performance improvement in high risk industry cannot be reached unless human and organizational factors are taken into account; this is a compulsory element of the successful implementation of a safety management system. Most of the time this is achieved through the assessment of a level or type of safety culture, performed through safety perception surveys, possibly completed by focus groups interviews. Generally such programs require specific expertise and sociological skills, most of which being external to the company.In order to ease such a process, TOTAL SA has developed a global safety culture assessment toolkit. The key element of this toolkit is an innovative computerized system to process and help the interpretation of data steming from safety culture perception surveys. User-friendliness of the software allows automatic delivery of indices and charts which enable to rapidly diagnose the key elements of safety culture in terms of strengths and weaknesses, and organized along a pattern of themes such as: Risk perception, Safety culture type beliefs, Organization and work context, Management leadership, Technical safety management, Behavioural safety management, Employees' behaviors, Employees' involvement, Employees' compliance, Work team / peers influence, and Ergonomics / Engineering. Additional Health and Environment themes lead to a SHE culture assessment.New 2-D diagrams are included, yielding safety culture signatures whick make it possible to undertake benchmarking between different organizations (companies, units, activities, sites, etc.). A statistical module is also proposed to measure consistency level of the responses.This new tool has been successfully applied in different entities of TOTAL group, either Exploration & Production affiliates or Refineries. Typical results are shown in this paper. In case additional interviews are deemed necessary to clarify some results, then the tool allows rapid and easy identification of the focus groups of people to be considered, as well as the topics to be preferentially discussed. The tool can be customized to any organization, safety culture model, questionnaire, themes, respondents' criteria, responses scales, etc. It is part of a global SHE management tools chain to reduce uncertainty in risk management. Keywords: graph, different category, perception index, data processing, interpretation, category, safety culture assessment, respondent, spe 126591, perception Subjects: Safety, Human factors (engineering and behavioral aspects), Safety risk management Copyright 2010, Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,011 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».