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Record W1991795142 · doi:10.2118/124538-ms

Experimental and Theoretical Studies of Three-Phase Relative Permeability

2009· article· en· W1991795142 on OpenAlexaff
Farid Ahmadloo, K. Asghari, Benyamin Yadali Jamaloei

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2009
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsRelative permeabilityPermeability (electromagnetism)Porous mediumPetroleum engineeringSalientReservoir simulationScarcityComputer scienceOil fieldFluid dynamicsTwo-phase flowGeologyFlow (mathematics)MechanicsGeotechnical engineeringPorosityArtificial intelligenceChemistryPhysics

Abstract

fetched live from OpenAlex

Abstract The three-phase relative permeability relations define the hydrodynamics of fluid flow in porous medium. These relations are necessary for simulation of various phenomena occurring in the reservoir during various production and enhanced oil recovery (EOR) processes; such as chemical flooding, steam flooding, enhanced gas drives, etc. Despite the availability of a modest number of relative permeability measurements reported in literature since 1941, there is no universally accepted conclusion reached on the shape of the isoperms. Given this scarcity of consistent experimental data, it is difficult to recommend any of the developed predictive models, e.g. empirical, mechanistic, or pore-level, for the estimation of isoperms of each phase under reservoir conditions. This paper presents a review of a wide rage of experimental results reported on three-phase relative permeability and highlights their salient features and distinctive findings. It also provides indepth evaluation of technical achievements in this field. The present study is a useful reference for engineers and scientists interested in modeling of multi-phase flow in porous media, and provides guidelines on the selection of predictive models for generation of three-phase relative permeability isoperms.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.467

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 head0.026
GPT teacher head0.321
Teacher spread0.295 · 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 designTheoretical or conceptual
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

Citations28
Published2009
Admission routes1
Has abstractyes

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