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Record W4406528674 · doi:10.1063/5.0246972

High efficiency and adaptability of mini-hydrocyclones for oil–water separation

2025· article· en· W4406528674 on OpenAlex
Mengmei Lu, Lixin Zhao, Lin Liu, Shuang Zhang, Zhaoyang Guo, Hao Wang

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

VenuePhysics of Fluids · 2025
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsPetro-Canada
FundersNortheast Petroleum UniversityNatural Science Foundation of Heilongjiang ProvinceNational Natural Science Foundation of China
KeywordsPhysicsAdaptabilitySeparation (statistics)MechanicsPetroleum engineeringStatistics

Abstract

fetched live from OpenAlex

The use of mini-hydrocyclones for downhole oil–water separation has been proposed due to their small size, convenient arrangement, simple structure, and high separation efficiency, all of which contribute to an improved economic recovery rate in oil fields. Currently, mini-hydrocyclones are primarily used for solid–liquid separation, and the flow field characteristics and mechanisms for improving the separation efficiency of mini-hydrocyclones in liquid–liquid separation are not fully understood. This paper elucidates the mechanism of high efficiency in oil–water separation mini-cyclones from a flow field perspective by combining numerical simulations with high-speed photography. The focus is on investigating the flow field characteristics of mini-cyclones with different diameters, including velocity fields, pressure fields, and oil nuclei morphology. The results show that under an oil volume fraction of 2%, the Euler numbers of mini-hydrocyclones with diameters of 30, 24, and 18 mm are 0.23, 0.25, and 0.34 times those of the 12 mm mini-hydrocyclone, respectively, while the Reynolds numbers are 4.20, 3.60, and 2.29 times those of the 12 mm mini-hydrocyclone. This suggests that a smaller mini-hydrocyclone diameter leads to higher energy consumption, weaker turbulence, and better separation efficiency. Under identical operating conditions, a smaller mini-hydrocyclone diameter results in lower tangential and axial velocities, which increases the residence time of fine oil droplets within the device, thereby improving the separation effect. Additionally, an adaptability study of mini-hydrocyclones with different diameters under the same separation ratios and inlet flow conditions was conducted using both numerical simulations and laboratory experiments. The findings reveal that, under the same operating conditions, the smaller the diameter of the mini-hydrocyclones, the higher their efficiency. Under the optimal operating conditions within the scope of the study, the separation efficiencies of the 12 and 24 mm mini-hydrocyclones were 99.8% and 98.5%, respectively. Additionally, the experimental and simulated data for separation efficiency and underflow oil concentration demonstrate a second-order fitting result greater than 0.92, indicating a high degree of consistency.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.377

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 head0.006
GPT teacher head0.236
Teacher spread0.230 · 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