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Record 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 on OpenAlexaboutno aff
Weronika M. Swiech

Bibliographic record

VenueSurrey Research Insight Open Access (The University of Surrey) · 2018
Typedissertation
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDielectricOil sandsWettingHumic acidChemical engineeringColloidMaterials scienceExtraction (chemistry)MineralogyAsphaltChemistryComposite materialOrganic chemistry

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.121
GPT teacher head0.351
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2018
Admission routes1
Has abstractyes

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