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Record W2984412162 · doi:10.7122/cmtc-558486-ms

The Effect of Unconventional Oil Reservoirs’ Nano Pore Size on the Stability of Asphaltene During Carbon Dioxide Injection

2019· article· en· W2984412162 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

VenueCarbon Management Technology Conference · 2019
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAsphalteneEnhanced oil recoveryChemical engineeringFiltration (mathematics)Petroleum engineeringPrecipitationHydrocarbonOil shaleMaterials scienceCarbon dioxideSynthetic oilChemistryWaste managementGeologyComposite materialOrganic chemistryScanning electron microscope

Abstract

fetched live from OpenAlex

Abstract Carbon dioxide (CO2) has been proven to be an extremely successful enhanced oil recovery method to increase oil recovery from hydrocarbon reservoirs. It has also been proposed as a novel production method for unconventional shale reservoirs with nano pores as well. One of the main drawbacks of CO2 injection is asphaltene precipitation and deposition, which may result in severe pore plugging, and thus a significant decrease in oil recovery. Even though asphaltene precipitation during CO2 injection in conventional oil reservoirs has been researched extensively, not much research has been conducted to evaluate asphaltene precipitation and pore plugging in unconventional nano pores. This research investigates the impact of several factors on asphaltene precipitation and deposition, and asphaltene pore plugging in nano pores. Composite nano-filter membranes with 10, and 100 nm pore size were used to conduct all experiments. A specially designed high pressure high temperature filtration vessel was constructed and utilized to accommodate both the filter membrane, and the crude oil. The impact of varying the CO2 injection pressure, temperature, filter membrane pore size, and the CO2 soaking time on asphaltene deposition, and pore plugging were investigated. Results showed that higher CO2 injection pressures resulted in a higher oil recovery, a lower asphaltene concentration in the unproduced, bypassed oil, and a higher asphaltene concentration in the produced oil compared to the lower CO2 injection pressures. An opposite trend was observed with the temperature however, due to the temperature resulting a severe disturbance in the asphaltene thermodynamic equilibrium with the other crude oil components. Increasing the pore size resulted in a less severe asphaltene pore plugging, whereas increasing the CO2 soaking time resulted in an increase in the asphaltene deposition and pore plugging. This research performs an experimental study to show the main factors that will impact asphaltene precipitation, deposition, and pore plugging in nano pores during CO2 injection. This may help in improving oil recovery from CO2 injection projects in unconventional shale reservoirs, especially those with a high asphaltene percentage in their crude oils.

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 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 score0.161
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.201
Teacher spread0.195 · 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