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Enregistrement W2918297279 · doi:10.15126/thesis.00849748

Humic acid, its colloidal and solution properties and relevance to bitumen recovery from oil sands.

2018· dissertation· en· W2918297279 sur OpenAlexaboutno aff
Weronika M. Swiech

Notice bibliographique

RevueSurrey Research Insight Open Access (The University of Surrey) · 2018
Typedissertation
Langueen
DomaineChemistry
ThématiquePetroleum Processing and Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDielectricOil sandsWettingHumic acidChemical engineeringColloidMaterials scienceExtraction (chemistry)MineralogyAsphaltChemistryComposite materialOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

This work considers interactions occurring between humic acid (HA) and other representative components of oil sands such as sand and clays, and their potential effect on bitumen recovery. Further, it considers the characterisation of oil sand components in terms of physico-chemical and dielectric properties. The study focuses on a combination of artificially prepared systems analysed using a variety of techniques, including dielectric spectroscopy (DS), UV-Vis spectrophotometry (UV-Vis), sedimentation analysis and adsorption isotherms. Finally, it talks about HA extraction from natural oil sands, HA behaviour in solution and its interactions with oil sand components. Dielectric properties arise from electronic and atomic polarisation or dipole, ionic or dielectric relaxation mechanisms. The particular sensitivity of basic electrical measurements, e.g. resistivity, to the presence of water made the original use of this approach most relevant to the determination of water-filled porosity in model oil sand samples. The present study builds on recent developments in the literature, and, specifically determines the extent to which the potentially dominant effects of water can be overcome in order to access additional information, such as wettability. DS was used to study physico-chemical and structural characteristics of artificially prepared simplified oil sand systems. At the low-frequency DS analysis (10-3 – 107 Hz) yields complex properties, which revealed contributions from underlying processes in materials, including electronic, ionic and interfacial polarisation. Dielectric measurements undertaken on a range of artificially prepared samples revealed strong, regular dependencies on the composition of the systems. This model study proved DS to be a valid method for the analysis of complex systems such as synthetically prepared oil sands. The results indicated wettability change in a systematic manner in samples made up of varying combinations of sand, clays, water and bitumen. It has been considered that water-soluble organic species can influence the recovery of bitumen by having an effect on parameters such as wettability or surface charge, thereby altering interactions between oil sand components. HA is of considerable environmental significance, being a major component of soil. However, its structure and colloidal properties continue to be the subject of debate, largely owing to its molecular complexity and association with other humic substances and mineral matter. Natural oil sand (NOS) samples obtained from Alberta, Canada were separated into solid, oil and water fractions. HA was further extracted out of water fractions using a range of procedures. The obtained organic species were identified mainly using Fourier Transform infrared (FTIR) spectroscopy and compared against standard components. The presence of aromatics, alcohols, phenols, ketones and aliphatic and aromatic amines was confirmed in the extracted HA samples. An adsorption study of HA on mineral surfaces was done by means of conductivity measurements. The adsorption of various concentrations of NaHA from the aqueous solutions onto the surface of sand, clay and sand-clay mixtures with varying ratios was studied by means of DS and the UV-vis absorption measurements. The results showed a strong affinity of the HA present in the solutions to the surface of sand and clay. The calculations based on the results obtained proved the significance of clay in the HA-solids interactions. Although the sand surface covered in HA remains naturally hydrophilic (slightly less than a natural sand), it hinders the adsorption of asphaltenes onto the surface. The HA adsorbs onto the asphaltenes coated sand, making the surface increasingly more hydrophobic over time. Colloid and interfacial properties were studied by means of conductivity, surface tension and zeta potential measurements. a class, HA is considered to comprise supramolecular assemblies of heterogeneous species, and herein, a simple route for the separation of some HA sub-fractions was considered. A commercial HA sample has been fractionated into two soluble (S1, S2) and two insoluble (I1, I2) fractions by successive dissolution in deionised water at near-neutral pH. These sub-fractions have been characterised by solution and solid-state methods. Using this approach, the HA has been shown to contain non-covalently bonded species with different polarity and water solubility. The soluble and insoluble fractions have different chemical structures, as revealed particularly by their solid-state properties (13C Nuclear Magnetic Resonance (NMR) and FTIR spectroscopies, and thermogravimetric analysis (TGA)); in particular, S1 and S2 were characterised by higher carbonyl and aromatic content, compared with I1 and I2. The soluble fractions were shown to behave as hydrophilic colloidal aggregates. It was found that HA dissolution is not affected by the temperature change or increase of agitation and it was reduced by the presence of mono- and divalent ions. The negative nature of HA was confirmed and it was found that it flocculates by addition of cationic surfactant. The presence of HA in the solution also showed stabilisation of clay dispersions.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,419
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,002
Science ouverte0,0030,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,121
Tête enseignante GPT0,351
Écart entre enseignants0,230 · 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.

Devis d'étudeExpérimental (laboratoire)
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
Publié2018
Routes d'admission1
Résumé présentoui

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