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Record W2004952955 · doi:10.2118/01-03-02

Effect of Viscosity and Diffusion Coefficient on the Kinetics of Bubble Growth in Solution-Gas Drive in Heavy Oil

2001· article· en· W2004952955 on OpenAlexafffundabout
Raushan Kumar, M. Pooladi‐Darvish

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2001
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of AlbertaUniversity of Calgary
KeywordsBubbleViscosityThermodynamicsMass transferDiffusionWork (physics)ChemistryBubble pointMechanicsPressure dropNucleationFlow (mathematics)Growth ratePhysicsMathematics

Abstract

fetched live from OpenAlex

Abstract Some of the heavy oil reservoirs in Alberta and Western Saskatchewan show anomalously high primary recovery and high flow rate under solution gas drive. Several theories have been proposed for the anomalous behaviour. However, only a few theories look at the basic physics of the problem and find out the reason for this favourable behaviour. The process of solution gas drive involves nucleation of gas bubbles followed by bubble growth and finally flow of gas. In his work, the aspect of bubble growth is studied in heavy oil and in light oil. A numerical model is developed, including the hydrodynamic and mass transfer effects to investigate the effect of viscous and diffusional forces on bubble growth. An objective of the paper is to show that the effect of oil viscosity on bubble growth might be insignificant, even for heavy oils. A secondary objective is to examine the validity of the popular rowth model of R(t) = atb, when both diffusional and hydrodynamic forces are acting. The case of a gradual decline in pressure is studied, which more closely simulates the reservoir condition, and is compared with a step decline in pressure. It is found that the constants a and b in the above model need to be found for the conditions of interest; they depend on oil-type, rate of pressure drop, mass transfer boundary condition, etc. In another part of the paper, the gas phase growth during the solution gas drive experiment is modelled and the effect of various parameters, such as viscosity, depletion rate and diffusion coefficient, on the process is studied. It is found that, in a constant volumetric rate of depletion process, the system compressibility might remain unchanged for some time, even after bubbles have nucleated and while they are growing. Hence, the maximum supersaturation observed does not have to correspond with the nucleation pressure. Introduction The process of solution gas drive involves nucleation of bubbles in oil as the pressure falls below the bubblepoint pressure, following which the bubbles grow. During growth, the bubbles come in contact with each other and, with the breaking of the lamella, coalesce to form interconnected gas bubbles, often with multiple branches. The process of solution gas drive in heavy oil reservoirs shows a number of anomalies when compared to that in a light oil reservoir. A number of theories(1-7) have been proposed to explain this behaviour of the heavy oil reservoir. However, only a few look at the basic physics of the problem. In this paper, an attempt has been made to study bubble growth with specific application to the solution gas drive process by looking at the physics of bubble growth and study the effect of viscosity and other parameters. As a first step, a single bubble growth in bulk is considered and the effect of the porous medium is not included. The bubble growth in light oil, is compared with that in heavy oil, and the reason for the differences sought.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.003
GPT teacher head0.195
Teacher spread0.191 · 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

Citations29
Published2001
Admission routes3
Has abstractyes

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