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Record W2492054441 · doi:10.2118/2007-170-ea

Impacts of Concentration Dependence of Diffusion Coefficient on VAPEX Drainage Rates

2007· article· en· W2492054441 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCanadian International Petroleum Conference · 2007
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsAlberta Oil Sands Technology and Research AuthorityUniversity of Calgary
FundersUniversity of Calgary
KeywordsCitationDiffusionViscosityDownloadAsphaltComputer scienceOperations researchPetroleum engineeringGeologyLibrary scienceMathematicsThermodynamicsArchaeologyPhysicsGeographyWorld Wide Web

Abstract

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Abstract The Vapex analytical model is extended to cover situations when diffusion coefficients are dependent on concentration due to the extreme viscosity contrasts between the solutes and solvents. The new analytical model covers such situations along with the cases in which the diffusion coefficient and viscosity relate to each other under the Stokes-Einstein law. In the process, conceptual inconsistency in the past models is uncovered, and a new concept of the "average flow fraction of bitumen" in the flowing mixtures is introduced. The modelled result on overall functionality of the drainage rate of bitumen shows the square-root relationships to key reservoir parameters; it is unchanged from the past analytical models. These relationships are compared with the observed correlations of the scaled bitumen rates to these parameters in the numerous existing Vapex experimental data which cover a variety of conditions. Introduction Dunn et al1 Developed the theoretical model of the gravity drainage process for bitumen recovery known as Vapex based on the model of the steam-assisted gravity drainage (SAGD) process by Butler et al2. This model assumed that the diffusion coefficients of solvent-bitumen systems are constant similar to the case of thermal diffusivity; thus, the steady-state profiles of solvent concentration ahead of the solvent-bitumen interface is the smooth exponential decay towards an infinite distance. In reality, both the diffusion coefficients of both solvent and bitumen are strongly dependent upon compositions due to the extreme viscosity contrasts between the solutes and solvents. As a result, the observed concentration profiles in diffusion experiments exhibit the abrupt front-end profiles3. The theoretical endeavour here is to understand the impact of the non-exponential concentration profiles on the Vapex drainage and bitmen rates. Governing Mechanisms The most fundamental mechanism of the process is the gravity drainage caused by the density difference between the liquid-bitumen phase and the injected vapour phase. The drainage flow of the bitumen phase occurs only from viscosity reduction due to the impact of the injected solvent (or heat in the case of SAGD) of the otherwise semi-solid bitumen. Therefore, how the injected solvent penetrates into the bitumen phase in the reservoir is of the primary importance to the process. According to Fick's law, a material balance across a differential distance dx in this situation can be expressed as a continuity equation for the change of concentration (volume fraction is chosen), C, with time, t, by using the diffusion coefficient, D: Equation (1) (Available in full paper) If the draining interface with a fixed concentration is moving at a velocity U in a direction normal to the interface, at a steady-state condition, the concentration of invaded solvent, C, does not change with time at a given depth from the interface, ξ (a moving axis with the interface, ξ = x-Ut); then Equation (2) (Available in full paper)

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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 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 score0.117
Threshold uncertainty score1.000

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)0.0010.000

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 head0.013
GPT teacher head0.257
Teacher spread0.245 · 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