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Record W1981998820 · doi:10.2118/2003-127

Effect of Porous Media Topology on Foamed Gel Performance as Demonstrated by Flow Visualization Studies

2003· article· en· W1981998820 on OpenAlexaff
Laura Romero‐Zerón, Apostolos Kantzas

Bibliographic record

VenueCanadian International Petroleum Conference · 2003
Typearticle
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVisualizationPorous mediumFlow (mathematics)Materials scienceFlow visualizationPorosityTopology (electrical circuits)Computer scienceMechanicsComposite materialEngineeringPhysicsArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

Abstract The use of foamed gels as blocking agents is an alternative method to reduce excessive gas or water inflow during oil production. Field trials have demonstrated that foamed gel is a very cost effective technology. However, the mechanisms of foam gel flow and blockage in porous media are not yet well recognized. In this work, a pore level approach has been taken to investigate the complex flow of foamed gels in porous media, through visual observations in transparent etched-glass micromodels. This paper presents experimental observations on foamed gel propagation in heterogeneous pore models. This work also evaluates the effect of foamed gel on gas and water mobility, the mechanisms of gas and liquid flow through a foamed gel network previously placed in the porous media, the effect of pore structure and foam texture on blockage effectiveness. The experimental observations reveal that foamed gels provide a higher flow restriction capability than conventional aqueous foams. Direct observations of foamed gel propagation at the pore level indicated that foamed bubbles are broken and reshaped within the porous media. Foamed gel blockage effectiveness increases with porous media permeability and conductivity. Finally, experimental results demonstrated that foam texture has an unquestionable influence on foamed gel blockage effectiveness. Introduction Foam is applied broadly as a mobility-control and profile modification agent for flow in porous media. Foam is a dispersion of a relatively large volume of gas in a small volume of a liquid. It is generated inside a porous medium when a liquid containing a foaming agent is mixed with either an externally injected or an in situgas (1), with the gas occupying typically 50% to 99% of the total volume. There is relatively little work in the literature regarding foamed-gels (2)–(9). In a previous paper (10) experimental work was performed in order to delineate the effects of foamed gel texture on trapping mechanisms and the resulting distribution and magnitude of trapped bubbles. Displacement tests on a 2D network micromodel were carried out to visualize at pore-level scale the trapping mechanisms of foamed gel in porous media. Additionally, a new X ray-Microtomography technique was used to evaluate the internal microstructure of foamed gel through layer-by-layer visualization of bulk foams (10). In the present study the propagation of foamed gel in heterogeneous etched-glass micromodels is reported, along with its effect on gas and water mobility. The specific objectives of the study were as follows:Evaluation of the propagation of foamed gel in heterogeneous pore models through direct observation.Determination of the mechanisms of gas and liquid flow through a foamed gel network previously placed in the porous media.Study of the effect of porous media permeability and conductivity on foamed gel plugging.Estimation of the influence of foam texture on foamed gel blockage capability.Determination of the foamed gel gas blockage effectiveness versus aqueous foam gas blockage capability. EXPERIMENTAL PROCEDURES Equipment and Materials Apparatus. Fig. 1 shows a schematic of the foam flow experimental set up (10).

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)0.001
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 score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.019
GPT teacher head0.287
Teacher spread0.268 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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