MétaCan
Menu
Back to cohort
Record W4236309870 · doi:10.2118/07-09-04

A Novel Experimental Technique for Studying Solvent Mass Transfer and Oil-Swelling Effect in the Vapour Extraction (VAPEX) Process

2007· article· en· W4236309870 on OpenAlexafffund
Congning Yang, Yongan Gu

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2007
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsPetroleum Technology Research CentreUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaPetroleum Technology Research Centre
KeywordsSwellingSolventMass transferDrop (telecommunication)ChemistryPropanePressure dropThermal diffusivityVolume (thermodynamics)DiffusionChromatographyThermodynamicsAnalytical Chemistry (journal)Materials scienceChemical engineeringComposite materialOrganic chemistryMechanical engineering

Abstract

fetched live from OpenAlex

Abstract In this paper, a new experimental technique is presented to study the solvent mass transfer in heavy oil and the resultant oil-swelling effect by applying dynamic pendant drop volume analysis (DPDVA). In the experiment, a pendant drop of heavy oil is formed inside a visual high-pressure cell, which is initially filled with a solvent (e.g. propane). As the solvent gradually dissolves into heavy oil, the volume of the pendant oil drop keeps increasing due to the oil-swelling effect. The sequential digital images of the dynamic pendant oil drop are acquired and analyzed to determine its volumes at different times. Theoretically, a previously formulated mathematical model is applied to describe the solvent mass transfer in heavy oil and the oil-swelling effect. The diffusion coefficient of the solvent in heavy oil and the oil-swelling factor are determined by finding the best fit of the theoretically predicted volumes of the dynamic pendant oil drop to the experimentally measured data. Experimental tests are conducted for the heavy oil-propane system at constant pressures of P = 0.4 − 0.9 MPa and a constant temperature of T = 23.9 °C. It is found that both the diffusion coefficient and the oil-swelling factor of the heavy oil-propane system increase with pressure. The major advantage of this new technique is that simultaneous measurements of the solvent diffusivity in heavy oil and the oil-swelling factor can be completed within two hours at the pre-specified constant pressure and temperature. Introduction In the vapour extraction (VAPEX) process, a solvent (e.g. methane, ethane, propane, butane or carbon dioxide) is injected into a heavy oil reservoir at a pressure close to its vapour pressure(1). Previous studies have already shown that molecular diffusion of the injected solvent in heavy oil plays a vital role in the VAPEX process(2–4). Thus the diffusion coefficient of the solvent in heavy oil under the actual reservoir conditions becomes an important parameter in the reservoir simulation and field design of the VAPEX process. In the literature, there are several experimental methods for measuring solvent diffusivity in heavy oil. These experimental methods can be roughly categorized into conventional and non-conventional methods. Conventional methods involve compositional analysis of liquid samples taken from the heavy oil-solvent mixture at different times and locations during a diffusion test(5). These methods are expensive, intrusive and time-consuming, especially if the diffusion test is conducted at a high pressure. In addition, compositional analysis of the heavy oil-solvent mixture is prone to large experimental error. Non-conventional methods measure the change of a property of the heavy oil-solvent system during the molecular diffusion process. This property can be the gas volume(6), oil-gas interface position inside a capillary(7), laser light intensity of the heavy oil-gas mixture(8), gas pressure(9) and shape of a pendant heavy oil drop surrounded by a gaseous solvent(10). In particular, the decaying gas pressure is measured while the molecular diffusion of the solvent into heavy oil proceeds within a closed high-pressure diffusion cell. This is referred to as the pressure decay method, which has been applied to measure the diffusivities of methane, ethane, propane, nitrogen and carbon dioxide in crude oils(11–14).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian Petroleum TechnologySame topicEnhanced Oil Recovery TechniquesFrench-language works237,207