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Record W3095415039 · doi:10.2118/202738-ms

Surfactant and Surfactant-Polymer Effects on Wettability and Crude Oil Liberation in Carbonates

2020· article· en· W3095415039 on OpenAlexaff
Subhash Ayirala, Abdulkareem M. AlSofi, Zuoli Li, Zhenghe Xu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPulmonary surfactantPolymerWettingChemical engineeringZeta potentialCarbonateBrineChemistryEnhanced oil recoveryLiberationMaterials sciencePolymer chemistryOrganic chemistry

Abstract

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Abstract Surfactants and polymers are used in enhanced oil recovery (EOR) to reduce interfacial tension and increase the viscosity of displacing fluid, respectively. For oil-wet to mixed-wet systems, especially carbonates, which tend to be heavily fractured, wettability becomes a key parameter that strongly affects oil recovery. Therefore, studying the impact of surfactant and surfactant-polymer chemicals on carbonate wettability is important to understand the underlying mechanisms responsible for incremental oil recovery in surfactant-polymer flooding. In the present study, liberation kinetics of crude oil from carbonate surfaces were investigated by using a liberation cell at both ambient and elevated temperatures (70°C). The liberation cell is equipped with an optical microscope for monitoring oil liberation. In addition, a custom-designed integrated thin film drainage apparatus (ITFDA) was used to measure adhesion forces between carbonate substrates and crude oil droplets. The chemical solutions were prepared in a representative high salinity brine. Two types of surfactants: a nonionic and an amphoteric were used. A sulfonated polyacrylamide polymer was selected as it was previously proven to be tolerant to both high salinity and high temperature conditions. The chemical solutions were prepared at dilute concentrations of 1000 mg/L and 500 mg/L for the surfactant and polymer, respectively. Besides the main experimental data, i.e., adhesion forces and liberation kinetics, interfacial tensions and zeta potentials were also measured for different solutions. In the zeta potential tests, carbonate particle suspensions in brine, surfactant, polymer and surfactant-polymer solutions were used. Oil liberation from carbonate surface is the lowest with brine and the polymer increased the degree of oil liberation. The amphoteric surfactant showed better efficiency to liberate more crude oil from carbonate surface over the nonionic surfactant. Polymer and surfactant addition to brine resulted in an oil liberation degree that is much higher than those obtained by each of the chemicals when applied individually. For solutions containing brine, polymer, surfactant, and surfactant-polymer, oil liberation degree increased at elevated temperature. Adhesion forces were very consistent with the observed oil liberation results. Adhesion force was strongest in brine, and both the polymer and surfactants further lowered the adhesion force. Accordingly, the lower adhesion force between carbonate and crude oil in aqueous solutions containing surfactant and polymer contributed to the increased oil liberation. The higher oil liberation degree obtained with the amphoteric surfactant can be explained by its ability to lower oil/water interfacial tension by two to three orders of magnitude. In addition, the surface charge of oil droplets and carbonate particles were found to be increasingly negative in aqueous solutions containing surfactant and polymer, thereby contributing to enhanced wettability alteration in crude oil-brine-carbonate systems. These microscale results indicate that trapped-oil mobilization in carbonates is governed by both wettability and capillarity; in other words, wettability alteration as well as reduction in oil/water interfacial tension would lead to increased oil liberation. This experimental study has characterized, for the first time, surfactant, and surfactant-polymer effects on wettability and crude oil liberation in carbonates. Such enhanced understanding obtained on the microscale interactions of surfactant, and surfactant-polymer chemicals at carbonate/brine/oil interfaces can provide some guidance on how to optimize EOR formulations for carbonate reservoirs.

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)0.001
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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".

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Citations2
Published2020
Admission routes1
Has abstractyes

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