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Record W2793562453 · doi:10.2118/189717-ms

A New PVT Apparatus for Automatic Measurement of Foamy Oil Generation and Stability

2018· article· en· W2793562453 on OpenAlexafffund
Peng Luo, Sheng Li, Kelvin D. Knorr, Petro Nakutnyy

Bibliographic record

VenueSPE Canada Heavy Oil Technical Conference · 2018
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of CalgarySaskatchewan Research Council (Canada)
FundersPetroleum Technology Research Centre
KeywordsPetroleum engineeringVolume (thermodynamics)Enhanced oil recoveryMethaneViscosityVolumetric flow rateMaterials scienceGas oil ratioPropanePetroleumChemistryEnvironmental scienceMechanicsThermodynamicsComposite materialGeology

Abstract

fetched live from OpenAlex

Abstract Cyclic solvent injection (CSI)—a non-thermal process option for development of post-CHOPS (cold heavy oil production with sand) heavy oil reservoirs—works by dissolving a gaseous solvent, mainly Methane (CH4) or Carbon Dioxide (CO2), and sometimes along with Propane or Butane into the in-situ heavy oil. A foamy oil is generated in-situ and produced during the production cycle due to pressure depletion. The generation and stability of foamy oil are considered important contributing factors to increased recovery from both solution gas drive and viscosity reduction mechanisms. This study used an innovative automatic flow loop apparatus to study questions about the pressure and gas type/concentration window for foamy oil generation and stability. The flow loop was applied to accurately monitor these phenomena through a number of property measurements at continuous flow conditions. Fluids inside the apparatus were automatically flowed back and forth between two upright Isco syringe pumps controlled by a LabVIEW data aquistion and control interface. The live oil in the system was depressurized either instantaneously or at a certain pressure drawdown rate to initiate foamy oil. Then, constant-volume pressure rebound (CVPR) tests and constant-pressure volume expansion (CPVE) tests were conducted, while density, viscosity, volume, and quality of the foamy oil phase were automatically measured and logged. The test results obtained with two separate gases, CH4 or CO2, revealed several fundamental mechanisms of foamy oil behaviour. Foamy oil stability was shown to be a complex function of live oil properties, solution/injection gas type, pressure drawdown rate, and shear rate. In the CVPR tests, when crude oil was saturated with CH4 or CO2 at the same bubblepoint pressure, the same pressure depletion decrement resulted in higher rebound pressure and longer time reaching stabilization for CH4 than CO2, due to slower CH4 bubble nucleation and release from the foamy oil phase. By contrast, the CPVE tests showed that the volume and viscosity increase ratio of the foamy oil phase compared to the original live oil were strongly affected by depletion pressure and drawdown rate. This indicates that, during a CSI process, there is an optimized window of pressure depletion rate and decrement that creates stable foamy oil at non-equilibrium conditions.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.570
Threshold uncertainty score0.979

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 head0.042
GPT teacher head0.248
Teacher spread0.207 · 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 designBench or experimental
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
Published2018
Admission routes2
Has abstractyes

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