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Enregistrement W4240660827 · doi:10.2523/86704-ms

Development of an Integrated Approach to the Risk Analysis of a Blow-out Accident

2004· article· en· W4240660827 sur OpenAlexaboutno aff
Paola Blotto, Michele Bonuccelli, Gianni Morale, Edoardo Dellarole, M. Falcitelli, F. Podenzani

Notice bibliographique

RevueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production · 2004
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueRisk and Safety Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationDownloadLibrary scienceWorld Wide WebComputer science

Résumé

récupéré en direct d'OpenAlex

Development of a Integrated Approach to the Risk Analysis of a Blow-out Accident Paola Blotto; Paola Blotto ENI - Exploration & Production Search for other works by this author on: This Site Google Scholar Michele Bonuccelli; Michele Bonuccelli TEA Group Search for other works by this author on: This Site Google Scholar Gianni Morale; Gianni Morale TEA Group Search for other works by this author on: This Site Google Scholar Edoardo Dellarole; Edoardo Dellarole TEA Group Search for other works by this author on: This Site Google Scholar Mariano Falcitelli; Mariano Falcitelli TEA Group Search for other works by this author on: This Site Google Scholar Fabrizio Podenzani Fabrizio Podenzani ENI Tecnologie 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, Calgary, Alberta, Canada, March 2004. Paper Number: SPE-86704-MS https://doi.org/10.2118/86704-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Blotto, Paola, Bonuccelli, Michele, Morale, Gianni, Dellarole, Edoardo, Falcitelli, Mariano, and Fabrizio Podenzani. "Development of a Integrated Approach to the Risk Analysis of a Blow-out Accident." Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. doi: https://doi.org/10.2118/86704-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 AbstractThe uncontrolled eruption of a well is one of the most critical accidents that can occur both during exploration and exploitation of hydrocarbon fields. Significant HSE issues are associated to this event that introduces safety risks for the field operators, potential health injury for the population living in the area and impacts, mainly associated to the hydrocarbon contamination, on the environment.This paper describes a methodology, developed by ENI E&P in the framework of a specific R&D project, permitting the complete analysis of the phenomenology associated to the blow-out event. The procedure, implemented in a PC user friendly software supplies all the information necessary for the complete characterization of the accident from a HSE point of view. In particular, the following data can be derived from the methods:release characterization;not ignited jet characterization;not ignited toxic and flammable gas and oil dispersion characterization;ignited jet characterization;dynamic killing design.The above set of data is calculated making use of a constellation of models simulating the various physical phenomena characterizing the blow-out event. Part of these models have been developed in the framework of the R&D project being relevant to phenomena (e.g. oil atomization, two-phase jet, two-phase combustion) not sufficiently treated in the literature. In some cases literature/commercial models have been selected after a State of the Art study. All the models included in the procedure have been validated both with experimental and/or numerical (CFD) data.The methodology is presently successfully applied in most of the ENI E&P developments.In the paper the description of the methodology structure and models is reported with validation results and some application scenarios.IntroductionThe availability of validated predictive tools for application during an accident scenario is essential. Their use should not be restricted to design activities. They generate vital information on the evolution of an accident and can be readily applied to optimise the emergency response.One potentially major accident event that is associated with the exploration and exploitation of hydrocarbon fields is an uncontrolled release of formation fluid from the reservoir e.g. a blow-out (See Figure 1).When a blow-out event occours, it is essential to implement a contingency plan as quickly as possible to minimise the potential damage, particularly for onshore wells where the oil and gas is dispersed into the atmosphere and over the land and can have an impact also on people.To improve the evaluation of the safety and environmental consequences of a blow-out the ENI - E&P Division commissioned a multi-disciplinary R&D project. This project utilises technical and scientific support from Eni Technologie, TEA Sistemi and ENI DATA companies.Due to the wide range of knowledge and expertise required by this project (e.g. safety, reservoir, drilling, completion and well fluid dynamic, discharge phenomena, not-ignited/ignited jet characterization and atmospheric dispersion) it proved necessary to "integrate" the various disciplines to ensure a good quality of project deliverables.The key features of the developed methodology are described in the following sections. Keywords: production monitoring, evaporation, calpuff, information, production control, jet model, scenario, blowout event, contamination map, simulation Subjects: Pressure Management, Well & Reservoir Surveillance and Monitoring, Well control This content is only available via PDF. 2004. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,970
Score d'incertitude au seuil0,334

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,103
Tête enseignante GPT0,334
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2004
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and ProductionMême sujetRisk and Safety AnalysisTravaux en français237 207