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Record W4405885120 · doi:10.1016/j.fuel.2024.134162

Thermodynamic modeling of wettability alteration induced by asphaltene – A combined theoretical and experimental study

2024· article· en· W4405885120 on OpenAlexafffund
Jiajun He, Hongbo Zeng, Birol Dindoruk

Bibliographic record

VenueFuel · 2024
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsAsphalteneWettingThermodynamicsMaterials scienceChemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

• A comprehensive model is developed for predicting contact angles with asphaltenes. • The impacts of asphaltene on wettability are evaluated via fundamental parameters. • The effects of salinity, oil type, and capillary pressure are studied by the model. • The model-predicted contact angles with asphaltenes are validated by experiments. Wettability is a paramount factor in multiphase flow through porous media influencing most processes in oil and gas recovery. It is commonly accepted that asphaltene can alter the rock wettability. However, the mechanisms via which asphaltenes affect wettability are intricate and far from being fully understood. Current asphaltene models are mainly based on 1) empirical correlations, which lack fundamental basis with limited ability to provide quantitative predictions; or 2) molecular dynamics simulations, whose practical use is hindered by high computational costs and challenges in accurately defining asphaltene molecular structures. The absence of a comprehensive model that integrates major key factors and provides both fundamental understanding and practical predictability remains a significant gap in the field. Herein, we present a thermodynamic model for the wettability alteration with asphaltenes, based on the thin film theory and the disjoining pressure principle. The model has a fundamental basis on the electrostatic, van der Waals, and structural forces at the oil/water/solid interface, while it generalizes the impact of asphaltenes into surface forces without accounting for individual molecules. To serve as inputs into the model, experiments were performed using AFM, zeta potential, etc. to characterize the fluid and mineral properties, with asphaltenes extracted from the Brutus crude. The model-predicted contact angles match well with experimental data. The impact of asphaltene on wettability was investigated under different salinities, oil types, and capillary pressures. It was found that asphaltene shifts the wettability towards more oil-wet and that the surface potential and interfacial tension are the most important factors that govern the asphaltene-induced wettability alteration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.273
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations4
Published2024
Admission routes2
Has abstractyes

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