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Record W2144718734 · doi:10.1002/cjce.20507

Modelling asphaltene deposition in turbulent pipeline flows

2011· article· en· W2144718734 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2011
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsSchlumberger (Canada)
Fundersnot available
KeywordsCouette flowDeposition (geology)AsphalteneMechanicsTurbulenceParticle (ecology)Pipeline transportMultiphase flowAsphaltMaterials scienceFlow (mathematics)Petroleum engineeringPhysicsEngineeringGeologyMechanical engineeringComposite materialChemical engineering

Abstract

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Abstract Asphaltene deposition is one of the important problems of oil production that requires an accurate predictive modelling. We developed an asphaltene deposition model in a pipeline. The model is based on data, which are obtained by experiments performed in a Couette device, where the inner cylinder rotates, and deposition on the outer wall is studied. A detailed theoretical analysis of an applicability of a Couette device for imitation of the asphaltene deposition in a pipe flow is presented. The model developed is based on first principles and consists of the two major modules: (1) a sub‐model describing the particle size distribution evolution in time in a Couette device, and along a pipe; (2) a sub‐model for calculating the particle transport to the wall. A population balance model is employed for modelling the particle size evolution. A concept of the critical particle size is introduced; only particles that are smaller than the critical size can deposit. The model developed contains only three parameters that are determined experimentally using a Couette device. The model of asphaltene deposition in a Couette device allows accurate describing the deposit mass growth in time. Performance of the deposition model for a pipeline with the coefficients obtained by a laboratory Couette device is also illustrated. Le dépôt d'asphaltènes est un des problèmes majeurs de l'industrie pétrolière et nécessite des modèles prédictifs fiables. Nous avons développé un modèle de dépôt d'asphaltènes en conduite pétrolière. Le modèle est basé sur des données obtenues expérimentalement par un système Couette avec cylindre intérieur tournant. Le dépôt sur les parois extérieures, fixes, est alors étudié. Une analyse théorique détaillée de l'applicabilité d'un système Couette à l'étude du dépôt d'asphaltènes en écoulement dans une conduite pétrolière est présentée. Le modèle développé est basé sur des principes fondamentaux et consiste en deux principaux modules: (1) un premier module décrivant l'évolution de la distribution de taille des particules avec le temps dans un système Couette et le long d'une conduite, (2) un deuxième module pour le calcul du transport des particules vers la paroi. Un modèle d'équilibre de population ( population balance model ) est utilisé pour modéliser l'évolution de la taille des particules. Un concept de « taille critique » est alors défini: seules les particules plus petites que cette taille peuvent se déposer. La modélisation contient seulement trois paramètres qui sont déterminés expérimentalement sur un appareil de type Couette. Le modèle permet une description fiable de l'augmentation de la masse de dépôt avec le temps. Les résultats de ce modèle appliqués à une conduite pétrolière avec les paramètres obtenus en laboratoire sur un système Couette sont également démontrés. © 2011 Canadian Society for Chemical Engineering

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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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.429

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 head0.014
GPT teacher head0.183
Teacher spread0.169 · 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