Effect of Sodium Dodecyl Benzene Sulfonate on Water-Soluble Hydrophobically Associating Polymer Solutions
Notice bibliographique
Résumé
Abstract The work presented in this paper focuses on the effect of sodium dodecycl benzene sulfonate (SDBS) on the rheological behaviour of specific-modified hydrophobically associating polymer (HAP) aqueous solutions. The viscosities of polymer solutions from dilute, unentangled semi-dilute, and entangled semi-dilute regimes were examined as a function of shear rate and SDBS concentration. It was found that SDBS enhanced the shear thickening in the entangled semi-dilute regime. The result was explained in terms of the balance between inter- and intrachain liaisons and the effect of SDBS on the chain dimensions of the polymer. Fluorescent data showed that SDBS was associated with the hydrophobic groups of the polymer, generating a number of microdomains. These microdomains strengthened the structure viscosity of the polymer solutions. The addition of SDBS to the HAP solution also helped build up a reversible molecular structure and even a temporarily threedimensional network in aqueous solutions via binding SDBS with hydrophobes of the polymer chains. The network structure resulted in a significant increase in viscosity of the polymer solutions. Consequently, the SDBS/HAP systems could be used as thickeners for the fluids used in EOR processes. Introduction Water-soluble polymers are widely used in oilfield operations such as drilling, polymer flooding, chemical flooding, and profile modification. Water-soluble hydrophobically associating polymers (HAP) are similar to conventional water-soluble polymers except that a very small portion of hydrophobic comonomer (<1%)(1,2) is incorporated into the polymer backbone. Above the overlap concentration, these polymer chains associate intermolecularly in solution, significantly increasing hydrodynamic size and inherent viscosity. This is of great importance in enhanced oil recovery (EOR). Interactions between HAP and surfactants have been well documented(2–5). The addition of surfactants to polymer solutions can influence the microenvironment of both components. Surfactants associate with the polymer or form micelles. Meanwhile, the polymer chains tend to re-conform to associate with the surfactant. It has been commonly accepted that such systems form hydrophobic microdomains(3,4) through the association of surfactants on hydrophobes of polymers, which cause the polymer chains to extend or prevent association of polymer and surfactant by forming micelle around the pendant groups(5). The most obvious change after adding surfactants to HAP is the variation of viscosity of the polymer solution(3), which responds tothe re-conformation of the polymer chains. It is often assumed that the viscosity of plastic fluid consists of structure viscosity and non-structure viscosity(6). Non-structure viscosity is determined by the hydrodynamic size of a single molecule, whereas structure viscosity is controlled by the size and strength of the three-dimensional network. Compared to the non-structure viscosity, structure viscosity is more easily influenced by the shear stress. Polymer solutions could be divided into dilute, unentangled semi-dilute, entangled semi-dilute, and high concentration regimes according to the types of HAP molecular associations. The Fluorescence Probe method has been increasingly important in elucidating surfactant-polymer interactions and monitoring hydrophobic domain formation in polymers bearing hydrophobic side chains(2,3,8–10). Pyrene is the most commonly used probe because it has extremely low solubility in water and can be solubilized by hydrophobic clusters, such as micelles or associating polymers.
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Comment cette classification a été obtenuedéplier
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».