Notice bibliographique
Résumé
Introduction Production of heavy oils and paraffinic crude reserves often results in the deposition of organic solids, typically waxes or asphaltenes. The organic deposits can reduce the productivity of the reservoir as well as foul piping and surface equipment. Current chemical and mechanical methods for treating deposition are only partially effective partly because the deposition process is poorly understood. A joint research program investigating asphaltene deposition is now underway at the University of Calgary, the University of Alberta and DB Robinson Research Ltd of Edmonton. The various steps of the deposition process (precipitation, aggregation, surface contact and adhesion) are to be investigated under both static and flowing conditions. A key component of the project is an apparatus for non-intrusively measuring asphaltene deposition under flowing conditions using x-ray tomography. This flow-loop apparatus will be designed and constructed with COURSE funding. ASPHALTENE DEPOSITION Asphaltenes are a solubility class and are usually defined as the fraction of a crude oil that precipitates in an aliphatic solvent (typically n-pentane or n-heptane) yet remains soluble in toluene. Asphaltenes are the most aromatic and polar fraction of crude oil and have the largest heteroatom and metal content. They consist of a variety of molecular species with molar masses of at least 1,000 g/mol (1). Asphaltenes appear to self-associate on a molecular level even in aromatic solvents. The degree of association depends on the composition, temperature and likely the pressure of the system. The average size of the associated asphaltenes ranges from 2,000 to 10,000 g/mol or approximately 2 to 6 molecules per aggregate (2). Asphaltenes can also precipitate upon a change in temperature, pressure or composition. The asphaltenes appear to precipitate as small "primary" particles which rapidly aggregate into macro-particles. The size of the primary particles is unknown but is likely in the order of a few microns based on visual observations. The size of the aggregated asphaltenes depends on the solven temperature and pressure but is in the order of several hundred microns (3). Solubilized asphaltenes can adsorb directly onto hydrophilic surfaces probably through interactions with heteroatom functional groups (4). Hence, adsorption can be significant in the reservoir. Direct adsorption is less likely on hydrophobic surfaces such as metals. Deposition on pipes and surface facilities more likely requires the precipitation of asphaltenes, the formation of aggregates and adhesion of aggregates to equipment surfaces. To understand and effectively prevent or treat asphaltene deposition, it is desirable to investigate each step of the deposition process, particularly under the flowing conditions where deposition normally occurs. In this way, potential treatments can be designed for particular steps in the deposition process. Our research is focused on deposition in pipelines. First, the precipitation, aggregation and adhesion of asphaltenes will be investigated at static conditions in order to identify critical deposition factors and to design the flow-loop apparatus. Then, the flow-loop will be employed to assess deposition under flowing conditions and to gather data for deposition models.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,057 | 0,001 |
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 tête enseignante, 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 ».