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Record W2037443710 · doi:10.2118/165178-ms

Experimental Investigation of the Impact of Asphaltene Adsorption on Two Phase Flow in Porous Media

2013· article· en· W2037443710 on OpenAlexafffund
V. Hematfar, Brij Maini, Zhangxin Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates - Technology FuturesCMG Reservoir Simulation FoundationUniversity of Calgary
KeywordsAsphalteneAdsorptionRelative permeabilityPorous mediumWettingChemical engineeringPermeability (electromagnetism)PorosityPetroleum engineeringSaturation (graph theory)Materials scienceChromatographyChemistryComposite materialOrganic chemistryGeologyMembrane

Abstract

fetched live from OpenAlex

Abstract While numerous investigations have studied asphaltene precipitation and deposition in porous media and their effects on absolute permeability, there is still a knowledge gap for understanding the changes in two-phase flow behaviour, displacement performance, relative permeability and recovery due to asphaltene adsorption and wettability alternation. The objectives of this work are: 1) to study the effect of brine salinity and asphaltene concentration on adsorption of asphaltene on pore surfaces and 2) to evaluate the effect of asphaltene adsorption on waterflooding performance and oil-water relative permeability. Experiments were conducted in sand-packs and each sand-pack was subjected to a series of flow tests comprising: 1) measurement of absolute permeability, 2) injection of pure toluene to displace the brine down to irreducible water saturation, 3) waterflooding at a constant rate to determine oil-water relative permeability, 4) long-term injection of a solution of asphaltene in toluene to allow the asphaltene to adsorb on sand surfaces and 5) a second waterflood to evaluate the post adsorption performance of waterflooding and oil-water relative permeability. Effluent samples were collected during the injection of asphaltene solution and analyzed with a spectro-photometric technique to determine the asphaltene concentration. The level of adsorption was determined from asphaltene material balance. A back pressure regulator was used to maintain the pressure of the system and the pressure drop across the sand-pack was measured and recorded. Furthermore, the interfacial tensions between asphaltene solutions and brines of different concentration were measured. A history-matching technique was developed to determine the shape of relative permeability curves by matching the production data using a genetic algorithm. The experimental results show that relative permeability and oil recovery were affected by asphaltene adsorption. The effect was more pronounced when the brine salinity was low. Displacement performance and recovery strongly depend on rock-fluid properties which may be affected by asphaltene adsorption.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.017
GPT teacher head0.293
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2013
Admission routes2
Has abstractyes

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