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Enregistrement W4250753807 · doi:10.2523/86800-ms

Produced Water Impact Monitoring in the Norwegian Sector of the North Sea: Overview of Water Column Surveys in the Three Major Regions

2004· article· en· W4250753807 sur OpenAlexaboutno aff
Durell Gregory, Johnsen Ståle, Røe-Utvik Toril, Frost Tone, Neff Jerry

Notice bibliographique

RevueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production · 2004
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationLibrary scienceNorwegianWater columnEnvironmental scienceComputer scienceOceanographyGeology

Résumé

récupéré en direct d'OpenAlex

Produced Water Impact Monitoring In The Norwegian Sector Of The North Sea: Overview Of Water Column Surveys In The Three Major Regions Gregory Durell; Gregory Durell Battelle Search for other works by this author on: This Site Google Scholar Ståle Johnsen; Ståle Johnsen Statoil Search for other works by this author on: This Site Google Scholar Toril Røe-Utvik; Toril Røe-Utvik Norsk Hydro Search for other works by this author on: This Site Google Scholar Tone Frost; Tone Frost Statoil Search for other works by this author on: This Site Google Scholar Jerry Neff Jerry Neff Battelle 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-86800-MS https://doi.org/10.2118/86800-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Durell, Gregory, Johnsen, Ståle, Røe-Utvik, Toril, Frost, Tone, and Jerry Neff. "Produced Water Impact Monitoring In The Norwegian Sector Of The North Sea: Overview Of Water Column Surveys In The Three Major Regions." 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/10.2118/86800-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 Norwegian Pollution Control Authorities (SFT) have since 1999 required environmental monitoring of the water column by the oil companies operating in the Norwegian Sector of the North Sea, in addition to discharge monitoring. Field-based monitoring projects have been conducted in three major production areas to assess the potential impact of produced water discharge; the Tampen, Ekofisk, and Sleipner Regions. The work focuses on contaminants that may bioaccumulate and/or cause toxic effects, including polycyclic aromatic hydrocarbons (PAH) and metals. The fate and effects of the contaminants are determined using field-based techniques and through modeling. The results from the two approaches are used for model validation, and to refine the model and field assessment techniques. The model is also used to develop the Environmental Impact Factor (EIF) for each discharge; the EIF is a risk-based tool used to manage produced water discharges in Norway.Specialized sampling and analytical techniques have been employed to measure contaminants in the sea near and distant to discharges, and to determine potential ecological risk. This has involved deploying caged mussels and semi-permeable membrane devices (SPMDs) at 10–15 sites in each region; mussels and SPMDs concentrate and integrate contaminants in the water, and are used to determine bioaccumulation, critical body burden, and to calculate water-column concentrations. Contaminant concentrations and potential effects have also been determined with dispersion and risk modeling, using discharge data and site-specific environmental information. Results from both approaches to determining contaminant loadings, fate, and potential risk are presented and compared.IntroductionProduced water is usually the largest volume of waste generated from offshore oil and gas production facilities. Discharge of produced water to the North Sea is approximately 400 million m3/year, roughly one-third of which is discharged in the Norwegian sector (1). Produced water discharge has received increased attention due to the potential ecological risks presented by some of the chemicals present in the waste. Discharge limitations and requirements have been promulgated by the Norwegian Pollution Control Authorities (SFT) to protect the local receiving environment and resources from harm. The environmental management requirements include monitoring the fate and effects of potentially harmful contaminants discharged to the sea, and the development of a strategy to continually reduce any identifiable harmful discharge. The oil industry operating in the Norwegian sector has therefore conducted field-based water column monitoring in the largest oil and gas production regions, and has concurrently funded the development of a model to predict the fate and effects of produced water originating contaminants at sea. The field-based information is used to understand the actual situation, and to validate and calibrate the model.Regulations limit the concentration of total petroleum hydrocarbons to 40 mg/L in produced water discharge in the Norwegian sector of the North Sea. However, it is widely recognized that total petroleum hydrocarbons alone may not adequately represent the potential environmental impact of produced water (2). An issue that has received special attention recently in environmental impact assessments of offshore oil and gas operations is the potential for bioaccumulation of the major produced water chemicals in marine organisms. Bioaccumulation is the uptake and retention of bioavailable chemicals from all possible external sources (water, food, substrate, air). Only bioavailable compounds can be accumulated by marine organisms (3–4). A chemical is bioavailable if it is in a form that can move through or bind to the surface tissue of an organism. Chemicals are present in produced water in a variety of forms, only some of which are bioavailable. For bioaccumulation to occur, the rate of uptake of a chemical must be greater than its rate of loss by active and passive means from the organism. Keywords: naphthalene, spmd, hydrocarbon, north sea, contaminant, artificial intelligence, concentration, contaminant concentration, bioaccumulation, machine learning Subjects: Environment, Water use, produced water discharge and disposal 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)0,001
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,710
Score d'incertitude au seuil0,214

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 Opus0,076
Tête enseignante GPT0,294
Écart entre enseignants0,218 · 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'étudeObservationnel
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

Citations0
Publié2004
Routes d'admission1
Résumé présentoui

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Même revueProceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and ProductionMême sujetReservoir Engineering and Simulation MethodsTravaux en français237 207