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Record W4417010865 · doi:10.1088/1402-4896/ae2844

Investigation of oil/water two-phase flow in carbonate rocks using a multi-relaxation-time lattice Boltzmann phase-field method

2025· article· W4417010865 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhysica Scripta · 2025
Typearticle
Language
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsPetro-Canada
FundersNational Natural Science Foundation of China
KeywordsLattice Boltzmann methodsBreakupSurface tensionWettingCapillary actionCapillary numberViscosityLattice (music)Flow (mathematics)

Abstract

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Abstract Carbonate reservoirs exhibit complex oil-water two-phase flow behavior owing to their multimodal pore-throat structures, strong heterogeneity, and variable wettability. Traditional Darcy-based models struggle to capture key pore-scale phenomena such as interfacial dynamics and topological evolution, hindering the accurate prediction of displacement processes. In this study, Well A of the Fuman Oilfield in the Tarim Basin was selected as the research target. A high-resolution pore-scale simulation framework was developed by coupling the multi-relaxation-time lattice Boltzmann method (MRT-LBM) with a phase-field model and digital core reconstruction. The effects of interfacial tension, wettability, oil-water viscosity ratio, and capillary number on the displacement efficiency and oil-phase topology evolution were systematically investigated. The results show that interfacial tension strongly regulates droplet breakup and migration. At σ = 0.005 N m −1 , the connected oil volume decreases by 55.4% and isolated droplets increase by 220%, accompanied by a marked increase in the Euler characteristic number, indicating rapid connectivity loss. At σ = 0.01 N m −1 , the breakup and mobility are balanced (72%), with the largest decrease in the isolated-droplet Euler characteristic number, reflecting the highest mobilization capacity. At σ = 0.02 N m −1 , capillary trapping dominates (68%). Wettability governs droplet adhesion and detachment: hydrophilic ( θ = 60°) rapidly forms a water film that cuts the oil phase, increasing the Euler characteristic number significantly (75% recovery), whereas neutral and oil-wet conditions preserve connectivity but retain more residual oil (65% and 55%, respectively). A low viscosity ratio (M = 2) stabilizes the front and enhances the breakup, yielding a large Euler characteristic number growth (72%), whereas a high ratio (M = 10) shows minimal topological change and only 64% recovery. Increasing the capillary number promotes droplet detachment and migration, with high Capillary number (Ca) producing the lowest isolated oil volume peak and largest Euler characteristic number drop, achieving 72% recovery.

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.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.338
Teacher spread0.296 · 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