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Record W4239780967 · doi:10.2118/2005-172

Investigations of Interfacial Coupling Phenomena and its Impact on Recovery Factor

2005· article· en· W4239780967 on OpenAlexafffund
Xu Zhang, Ramon G. Bentsen, L.B. Cunha

Bibliographic record

VenueCanadian International Petroleum Conference · 2005
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCoupling (piping)Materials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract Interfacial coupling phenomena in multiphase-flow through porous media, and its impact on the recovery factor, have been of interest for sometime, especially in the SAGD process and in fractured reservoirs. In this study, a numerical simulator that takes into account inlet end effects was developed to solve the modified transport equations proposed by Bentsen1,2, Ayub and Bentsen3, and Ayub4 and Ayodele5 to account for interfacial coupling phenomena and hydrodynamic effects. Moreover, the simulator was validated using experimental data. Finally, sensitivity analysis studies were carried out with the simulator to show the effect of interfacial coupling phenomena on the recovery factor. Introduction It is well known that Darcy's equation was developed onthe basis of experiments involving single-phase flow through porous media. To account for multiphase flow, Darcy's equation was modified by Muskat et. al. 6 into a form that has been widely used in petroleum reservoir engineering. However, as pointed out by several researchers1,3,7–13, the modified equation can not give accurate recovery predictions when used to simulate multiphase flow in petroleum reservoirs. This is because, in multiphase flow, the presence of one fluid affects the flow of the other fluids; that is interfacial coupling effects (viscous and capillary coupling effects) influence the flow. The viscous coupling effect, first identified by Yuster14, refers to the coupling that arises due to the viscous drag exerted by one fluid on the other when they flow through the same porous medium, and it is usually associated with the mobility of the fluids5. The capillary coupling effect, recently postulated by Babchin and Yuan15 and by Bentsen16, refers to the coupling that arises due to coupling, through the capillary function2, of pressure across the interfaces of the fluids. Moreover, counter-current experimental data17–19 has been used to show that Muskat's extension of Darcy's equation does not correctly describe the physics of multiphase flow through porous media, because the magnitude of the relative permeabilities for a given phase obtained from counter-current flow is always less than that acquired from a co-current experiment conducted in the same porous medium. To closely capture the physics of flow, Bentsen1,2, Ayub and Bentsen3, Ayub4 and Ayodele5 developed a set of modified transport equations that incorporate interfacial coupling and hydrodynamic effects. In the following sections, a one dimensional form of these modified transport equations is solved numerically by developing an Interfacial Coupling Simulator (ICS), simulation results are compared with immiscible displacement experimental data and some conclusions are drawn as well. Mathematical Formulation To describe the one dimensional immiscible displacement flow by using the fractional flow concept, two governing equations, the fractional flow equation and the frontal advance equation, are needed. Fractional Flow Equation With the assumption that two immiscible and incompressible fluids flow through a homogenous and isotropic water-wet porous medium, Bentsen1,2, Ayub and Bentsen3, Ayub4 and Ayodele5 developed a set of modified transport equations whose one dimensional form is as follows: (Equation 1) (Available in full paper) (Equation 2) (Available in full paper)

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.881

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)0.0000.000

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 head0.015
GPT teacher head0.228
Teacher spread0.212 · 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 designSimulation or modeling
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

Citations1
Published2005
Admission routes2
Has abstractyes

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