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Record W1985219469 · doi:10.2118/2002-250

Measurement of Rheological Properties of Highly Paraffinic "Waxy " Mixtures

2002· article· en· W1985219469 on OpenAlexaff
Dharmendra Tiwary, Anil K. Mehrotra

Bibliographic record

VenueCanadian International Petroleum Conference · 2002
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRheologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract The rheological behaviour of waxy crude oils is a crucial parameter in the design of pipelines for transportation of crude oil and down-stream processing equipment. Most of these types of crude oils exhibit a combination of time-independent and time-dependent rheological properties. Hence, the measurement and modeling of the flow properties of these oils has been found to be difficult. The process of gel formation is a function of many variables, of which the most important are thermal history, shear rate and composition. Experiments were performed with prepared samples of paraffinic mixtures, using dodecane or hexadecane as the solvent and a paraffin wax of known composition as the solute. The rheological measurements were performed using a concentric cylinder viscometer. Additional experiments for the wax appearance temperature (WAT) were performed using videomicroscopy, differential scanning calorimetry (DSC), viscometry and a visual method. The effects of mixture composition and shear rate on the apparent viscosity were studied at different temperatures. The dependence of viscosity on composition and shear rate was found to be quite significant; however, the effect of cooling rate was not as appreciable. Introduction At higher temperatures, generally above 30–40 °C, most crude oils behave as simple Newtonian liquids. Below a certain critical temperature (known as wax appearance temperature or WAT), which is unique for a given crude oil, wax crystals start to appear and become suspended in the Newtonian base liquid. As the temperature is reduced further, wax crystals grow in size and precipitate from the solution. The precipitated wax may adhere to cold surfaces, which may give rise to problems during storage, transportation, handling and processing. Moreover, as more wax precipitates with a further lowering of temperature, the rheological behavior becomes distinctly non-Newtonian.1 The non-Newtonian behavior exhibited by these waxy crude oils ranges from time-independent characteristics such as Bingham plasticity and pseudoplasticity to more complex time-dependent characteristics such as thixotropy2,3. Ultimately, the interaction of wax crystals gives rise to an interlocking structural network, resembling polymer gels, that possesses a flow limit or yield stress.4 Because of the presence of gel structure, waxy crude oils display complex rheology, and at least eight parameters affecting their flow behavior have been identified.5 Of these, the more important variables are thermal history, shear history, aging and composition. The effect of these variables has been investigated by many researchers over the years; but some conflicting conclusions have been found.6 In order to understand the rheological phenomena associated with the flow of crude oils, it is necessary to understand their time-dependent rheological behavior. The time-dependent behavior observed is largely due to the breakdown of the crystalline structure formed during cooling. Although the exact nature of the structure is not well defined, it is believed that it is a result of the formation of crystalline complexes by the paraffin, asphaltene and resin constituents. In general, the breakdown of the structure with shear produces a reduction in the apparent viscosity. Recovery after shear is generally slight; a complete recovery is obtained only after reheating and recooling.7

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 categoriesInsufficient payload (model declined to judge)
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 score0.140
Threshold uncertainty score0.998

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.226
Teacher spread0.179 · 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".

Quick stats

Citations4
Published2002
Admission routes1
Has abstractyes

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