MétaCan
Menu
Back to cohort
Record W2010047579 · doi:10.2118/161036-pa

Computational Fluid Dynamics-Based Study of an Oilfield Separator--Part II: An Optimum Design

2013· article· en· W2010047579 on OpenAlex
Ali Pourahmadi Laleh, William Y. Svrcek, Wayne D. Monnery

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

VenueOil and Gas Facilities · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputational fluid dynamicsSeparator (oil production)Liquid liquidMechanicsLiquid phaseProcess engineeringComputer scienceMechanical engineeringPetroleum engineeringEngineeringChemistryChromatographyThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Summary This paper provides details of comprehensive computational-fluid dynamics (CFD)-based studies performed to overcome the separation inefficiencies experienced in a large-scale three-phase separator. It will be shown that the classic design methods are too conservative and would result in oversized separators. In this study, effective CFD models are developed to estimate the phase-separation parameters that are integrated into an algorithmic design method to specify a realistic optimum separator. The CFD simulations indicated that noticeable residence times are required for liquid droplets to penetrate through the interfaces, and liquid droplets would be entrained again from the liquid/liquid interface vicinity by the continuous liquid phase.

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 categoriesInsufficient payload (model declined to judge)
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 score0.382
Threshold uncertainty score0.999

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)0.0020.000

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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