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Record W2334334030 · doi:10.2118/170092-ms

A Robust Algorithm for Multiphase Isenthalpic Flash

2014· article· en· W2334334030 on OpenAlexaff
Di Zhu, Ryosuke Okuno

Bibliographic record

VenueSPE Heavy Oil Conference-Canada · 2014
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Alberta
FundersChina Scholarship Council
KeywordsAlgorithmComputer scienceEnthalpyEquation of stateThermodynamicsApplied mathematicsMathematicsPhysics

Abstract

fetched live from OpenAlex

Abstract Numerical solution of many non-isothermal flow problems requires robust isenthalpic flash. However, isenthalpic flash is challenging when the total enthalpy is sensitive to temperature, which is referred to as narrow-boiling behavior. This paper presents a robust algorithm for three-phase isenthalpic flash for water-containing hydrocarbon mixtures. The algorithm is an extension of the direct substitution (DS) presented in the literature and our previous research for two phases. A detailed analysis is given for the narrow-boiling behavior and its effects on the DS algorithm. A new method is also presented for K-value estimates for three phases for water-containing hydrocarbon mixtures. The thermodynamic model used is the Peng-Robinson equation of state with the van der Waals mixing rules. The narrow-boiling behavior occurs when the Gibbs free energy varies in temperature-composition space in such a way that a small temperature change yields significant changes of equilibrium phase compositions relative to the overall composition. The system of equations used in the DS algorithm becomes nearly degenerate for narrow-boiling fluids. The three-phase DS algorithm in this paper adaptively switches between Newton's iteration step and the bisection step depending on the Jacobian condition number. The bisection algorithm solves for temperature based solely on the enthalpy constraint only when narrow-boiling behavior is identified. The DS algorithm is tested with a number of different isenthalpic flash calculations. Results show the robustness of the DS algorithm for narrow-boiling fluids.

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 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: none
Teacher disagreement score0.924
Threshold uncertainty score1.000

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 head0.019
GPT teacher head0.198
Teacher spread0.179 · 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.

Study designSimulation or modeling
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

Citations5
Published2014
Admission routes1
Has abstractyes

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