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Record W2805778368

An Experimental Study of CO2 Dissolution into a Heavy Oil Without or With a Porous Medium

2016· dissertation· en· W2805778368 on OpenAlexfundno aff
Shuxin Wang

Bibliographic record

VenueoURspace (University of Regina) · 2016
Typedissertation
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
FundersFaculty of Graduate Studies and Research, University of AlbertaNatural Sciences and Engineering Research Council of CanadaPetroleum Technology Research CentreStrongUniversity of Regina
KeywordsDissolutionPorous mediumPorosityPetroleum engineeringChemical engineeringMaterials scienceEnvironmental scienceEngineeringComposite material
DOInot available

Abstract

fetched live from OpenAlex

In this thesis, phase behaviours of three different solvents (i.e., CO2, CH4, and C3H8) in the Colony and McLaren heavy oils were experimentally studied. The diffusivities of CO2 in the Colony heavy oil without or with an unconsolidated porous medium at different initial pressures and a constant temperature were measured and compared. In addition, the temperature dependence of the CO2 diffusivity in the Colony heavy oil was noted. Three different theoretical diffusion models for determining the diffusivity of a solvent in a liquid phase were applied and analyzed. More specifically, first, two series of PVT tests of the Colony heavy oil– CO2/CH4/C3H8 and the McLaren heavy oil–CO2/CH4/C3H8 systems were conducted to measure the solvent solubilities χ, oil-swelling factors SF, solvent-saturated live oil densities ρo and viscosities μo at different equilibrium pressures and the actual reservoir temperature of Tres1 = 21.0°C. Second, four diffusion tests of CO2 in the Colony heavy oil without a porous medium (Case A) were performed at four different initial pressures (Pi = 1.4, 2.7, 3.9, and 5.0 MPa) and a constant temperature of Tres1 = 21.0°C in a closed constant-volume diffusion cell by using the pressure decay method (PDM). The history matching (HM) method and two graphical methods (GMs), i.e., GM-I and GM-II, were used to analyze the declining pressure as a function of time and thus determine the CO2 molecular diffusivity. Third, four diffusion tests of CO2 in the Colony heavy oil without a porous medium (Case B) and another four diffusion tests of CO2 in the Colony heavy oil with a porous medium (Case C) were performed in a similar initial pressure range to that in Case A but at another constant temperature of Tres2 = 27.0°C. The molecular diffusivity of CO2 in the Colony heavy oil without a porous medium (Case B) and the apparent diffusivity of CO2 in the Colony heavy oil-saturated porous medium (Case C) at Tres2 = 27.0°C were also determined, respectively. Theoretically, the HM method and the two GMs were applied and compared by using the measured pressure vs. time data from Case A. It was found that the assumption of a constant z-factor used in the two GMs can introduce a relatively large error in the determination of CO2 diffusivity. Moreover, representing the infinite terms in the analytical solution of the diffusion model by the first term in GM-I might also introduce a large truncation error, especially at the beginning of each diffusion test. With the same experimental pressure decay data, the determined molecular diffusivities by using the two GMs were two to three times lower or higher than those determined by using the HM method. It was found that for the Colony heavy oil‒CO2 system without a porous medium (Case B) in an initial pressure range of Pi = 1.4–4.7 MPa and at Tres2 = 27.0°C, the determined molecular diffusivities of CO2 were slightly higher than the apparent diffusivities of CO2 in the same heavy oil with a porous medium (Case C) in an initial pressure range of Pi = 1.5–4.7 MPa and at Tres2 = 27.0°C. Specifically, the measured molecular diffusivities ranged from 2.2 to 3.6×10−10 m2/s, whereas the obtained apparent diffusivities were in the range of 1.4 to 2.1×10−10 m2/s. In Case C, the measured diffusive tortuosities were in the range of τ = 1.50‒1.71 for the unconsolidated porous medium used in four diffusion tests. Finally, as the test temperature was increased from Tres1 = 21.0°C (Case A) to Tres2 = 27.0°C (Case B), the measured molecular diffusivity at a similar initial pressure was slightly increased.

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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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.236
Teacher spread0.229 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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