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Enregistrement W2026873340 · doi:10.2118/2003-039

Cost-Effective Regulatory Compliance Management Solutions for the Petroleum Industry

2003· article· en· W2026873340 sur OpenAlexaboutno aff
Reidar Visser

Notice bibliographique

RevueCanadian International Petroleum Conference · 2003
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPetroleumCompliance (psychology)Petroleum industryBusinessRisk analysis (engineering)Petroleum engineeringComputer scienceEngineeringChemistryEnvironmental engineering

Résumé

récupéré en direct d'OpenAlex

Abstract The Canadian petroleum industry spends large amounts of money and uses other critical resources to comply with a myriad of regulatory requirements and operational standards. The tasks of collecting and reporting information required for regulatory compliance are generally very onerous, which means that little time is available for adequate compliance management and data analysis. To compound the problem, regulations and standards change. From a due diligence perspective, these changes should be tracked and communicated to the appropriate employees because they may directly affect facility operations and production. Experience shows that a number of companies are unaware of the scope and magnitude of these regulatory requirements and are not properly equipped, from both a technical and business process perspective, to ensure their company complies with them. This presentation will begin with an overview of recent regulatory changes or initiatives that affect companies operating in the petroleum industry. The presenter will then provide a brief description of various web-delivered and wireless-enabled software applications that increase operational efficiencies, improve worksite health and safety processes, streamline field data capture and reporting processes, and substantially reduce the time and costs associated with achieving and maintaining regulatory compliance. These applications include mobile field data collection tools that allow for instant report generation and e-mail notification of non-compliant items. Finally, a case study will be presented that illustrates how BCI's software solutions have enabled a major oil and gas company to achieve "zero compliance issues". Particular emphasis will be placed on how BCI's handheld applications work in conjunction with server technology to facilitate the notification of compliance events, and reduce compliance costs and field data collection time by over 50%. Compliance Issues At The Workplace A worker is in the process of mixing caustic soda and sulfuric acid in a pipe. Initially, there is no reaction. After removing his protective eye safety gear to write down some notes, the worker peers back into the top of the pipe. The moment he looks in, a violent chemical reaction occurs that blasts highly caustic chemicals into his face. He becomes blinded, severely disfigured, and scarred around his head and facial area. A later investigation reveals that the worker in question had not been properly supervised or trained on how to conduct this procedure, and had not consulted the relevant Material Safety Data Sheets.i Company XYZ is a distributor of chemicals, and routinely receives tanker cars filled with liquid chemicals at its plant. An experienced employee inadvertently reverses the hose connections to the pumping equipment so that the chemical xylene is pumped to a rail tanker car already full of the chemical. The employee fails to monitor the transfer as required and as a result 18,000 litres spilled onto the ground. The transfer was stopped 10 minutes later, after a neighbouring business alerted the fire department. The xylene was absorbed into the ground and some made its way to the storm sewer catch basin located on the property. Some of the chemical entered the city's sewer system. ii

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)0,000
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: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,904
Score d'incertitude au seuil0,669

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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 Opus0,065
Tête enseignante GPT0,297
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'étudeSimulation ou modélisation
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

Citations1
Publié2003
Routes d'admission1
Résumé présentoui

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