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Record W3095565704 · doi:10.2118/200813-ms

Ultra Low IFT or Wettability Alteration: What is More Important for Tight Carbonate Recovery

2020· article· en· W3095565704 on OpenAlexaff
Zifan Zhang, Madhar Sahib Azad, Japan Trivedi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPulmonary surfactantWettingSurface tensionBrineImbibitionChemical engineeringEnhanced oil recoveryChemistryCarbonateSalinityChromatographyMaterials scienceOrganic chemistryGeology

Abstract

fetched live from OpenAlex

Abstract Recently, carboxybetaine based zwitterionic surfactants (CnDmCB) have gained attention for surfactant aided recovery processes for unconventional oil-wet reservoirs due to their high salinity tolerance, wettability alteration potential and ultra-low IFT at extremely low concentrations. Several researchers have investigated the dominant recovery mechanisms among the wettability alteration and interfacial tension (IFT) reduction during surfactant flooding in unconventional, tight, oil-wet reservoirs. Most of the previous studies carried out using spontaneous imbibition fail to answer the dominance of prominent mechanisms, especially with respect to time and location. In this paper, these research gaps are addressed through physico-chemical interactions, and microfluidic studies carried out using carboxybetaine based zwitterionic surfactants (CnDmCB). Four zwitterionic surfactants corresponding to tertiary amines with different chain lengths of 12, 14, 16, 18 carbons were synthesized and characterized by 1H NMR. IFT measurements and rock wettability were investigated for wide range of salinities and surfactant concentrations. CnDmCB surfactant based on its ability to alter rock wettability and reduce interfacial tension reduction was selected for representative carbonate microfluidic studies. Experimental results demonstrated the IFT of carboxybetaine surfactants reduced with the increasing carbon chain length except for C18DmCB due to its poor solubilisation in the high saline brine system. The lowest IFT was up to 4*10-3mN/m for surfactant C16DmCB under the concentration of 0.025 wt% with produced high saline brine. However, this formulation called as F1 could change the zeta potential values of limestone only mildly from 3.07 mV to −3.79 mV. F2 and F3 formulations could change zeta potential value from 10.4 mV to −6.22 mV and −8.12 mV respectively. This signifies that higher wettability alteration potential of F3 and F2 when compared with F1 formulation. The IFT of F2 formulation is also ultralow (6.6*10-3mN/m), whereas the IFT of F3 formulation is relatively higher (0.115 mN/m). The observations of microfluidic studies are significant to emphasize that at early time F2 and F3 formulation corresponded to higher imbibition rate than F1 formulation due to its higher ability to alter the rock wettability from oil-wet to water-wet. As the front propagates to far location, F1 with ultra-low IFT begins to outperform F3 by providing better microscopic displacement and quicker front propagation throughout. The amount of residual oil trapped at far location was higher for F3 formulation than F1 due to its higher IFT. The results of the study signify that significant IFT reduction is needed at later stage while good wettability alteration is important during early stage of flooding and therefore this study holds significance in selecting or designing surfactant based fluid formulation for applications in unconventional tight 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 score0.006

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.245
Teacher spread0.231 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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