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Enregistrement W2067300655 · doi:10.2118/2004-041-ea

Controllable Synthesis In a Continuous Mode of Unsupported Molybdenum Catalysts With Micro/nano Size For Heavy Oil Upgrading

2004· article· en· W2067300655 sur OpenAlexafffundabout
J. Wang, Josephine M. Hill, Pedro Rafael Pereira Almao

Notice bibliographique

RevueCanadian International Petroleum Conference · 2004
Typearticle
Langueen
DomaineEngineering
ThématiqueCatalysis and Hydrodesulfurization Studies
Établissements canadiensUniversity of Calgary
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésMolybdenumNano-CatalysisMaterials scienceMetallurgyNanotechnologyChemistryComposite materialOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

Abstract With the depletion of conventional oil, heavy oil plays a significant role in the world energy market. Due to a great deal of impurities in heavy oils, the production and refining of it requires more advanced technologies, such as more efficient catalysts for hydroprocessing. Molybdenum based catalysts have been widely used in the petroleum industry for hydrotreating of heavy oil fractions. They can be used as both supported and unsupported catalysts. Supported catalysts suffer severe deactivation in the traditional hydrotreating process, whereas unsupported molybdenum catalysts have higher catalytic activity with better metal dispersion, and can be recovered, recycled or discarded in the process. In this study, micro/nano size (maximum 500nm) unsupported molybdenum catalysts were synthesized from a water/oil emulsion. These catalysts were prepared in a continuous mode particularly designed for online application to hydroprocessing, or to in situ upgrading. This ultradispersed solid has the potential application for both in-situ &ex-situ upgrading of heavy oil. Introduction The depletion of conventional crude oil reserves urges the development and production of heavy oil reserves. This is particularly important for Canada since there are extensive heavy oil reserves in Alberta. These heavy oils contain considerable amount of impurities, such as sulfur compounds, compared to conventional oils. These impurities pose a lot of challenges for hydroprocessing operations at refineries because they tend to deactivate and poison the catalysts used in hydroprocessing operations. One of the important reactions involved in hydroprocessing is hydrodesulfurization (HDS). Transition metal sulfides exhibit excellent properties in terms of sulfur removal. Catalysts are mainly molybdenum or tungsten disulfide, promoted with cobalt or nickel [1]. Molybdenum catalysts can be used as supported and unsupported catalysts in hydrotreating processes. At present, most of commercial hydroconversion processes use supported molybdenum catalysts. Supported catalysts suffer deactivation due to the deposition of carbonaceous components on the surface of the catalyst when they are used in conventional fixed bed reactors [2]. Dispersed molybdenum catalysts have a number of advantages over supported ones. These catalysts are less prone to deactivation so they are more suitable for processing heavier feeds [3], their submicron sizes ensure high activities due to a large specific surface area and are sufficiently small to be readily dispersed in the residual oil [4]. The present study aims at obtaining submicron sized molybdenum catalysts ex-situ from water-in-oil emulsions in a continuous mode in controlled ways. There are so far no reports published on the ex-situ synthesis of molybdenum catalysts in a continuous mode with emulsion-mediated route. This process will be a cost-effective approach for in-line production of upgraded heavy oils in refineries. Experimental All experimental runs are based on a two-level full factorial experimental design (Fusion Pro software, S-Matrix Corporation). The number and range of experimental variables are set according to our previous experience and the equipment limitations. Catalyst preparation The synthesis of the molybdenum catalysts is performed in a continuous mode (Fig. 1). First 6ml of surfactant (Brij 30 from Aldrich) was put in 200g of vacuum gas oil (VGO, boiling point is from 250 to 600 °C).

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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,596
Score d'incertitude au seuil0,980

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 Opus0,008
Tête enseignante GPT0,209
Écart entre enseignants0,201 · 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

Citations2
Publié2004
Routes d'admission3
Résumé présentoui

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