Nanopyroxene-Based Nanofluids for Enhanced Oil Recovery in Sandstone Cores at Reservoir Temperature
Notice bibliographique
Résumé
Nanoparticles (NPs) have recently gained great attention as effective agents for enhanced oil recovery (EOR) applications, especially at ambient temperatures. Nevertheless, harsh conditions are needed to synthesize them and many tend to lack stability, exhibiting strong limitations in EOR application. As a solution, many researchers have used silica nanomaterials and grafted them with various agents to enhance their stability and alter their functionality. However, altering their overall functionality via coating could limit their stability in an aqueous media. Thus, partially coated nanoparticles should be used, such that the functionalizing agent is bonded to certain active groups on the nanoparticle surface. Herein, environmentally safe and tunable silicate-based nanoparticles, nanopyroxene, were synthesized under mild conditions. Nanopyroxene consists of two forms of binding sites on the surface made of the structural iron framework imparting a negative charge on the surface, which is compensated by sodium ions and the hydroxyl groups present on the surface of the silicate framework, which is responsible for its hydrophilicity. In this study, we partially altered the functionality of the nanopyroxene by anchoring a hydrophobic functionalizing agent of triethoxy(octyl)silane to the hydroxylated binding sites, generating half and totally hydroxyl functionalized nanopyroxene, such as hydrophobic pyroxenes (HPNPs) and Janus pyroxenes (JPNPs), respectively. Characterization techniques, such as scanning electron microscopy, Fourier transform infrared, X-ray diffraction, thermal gravimetric analysis, dynamic light scattering, and ζ-potential were conducted for the produced NPs to confirm their surface identity, functionality, stability, and morphology. After that, in comparison with brine, three different nanofluids were generated from the synthesized NPs to test their performance toward EOR in sandstone cores. The EOR performance was investigated by interfacial tension, contact angle, spontaneous imbibition, and displacement tests. The results showed that the HPNPs have the best stability and functionality compared with the other nanoparticle types. Contact angles in the presence of NPNP, JPNP, and HPNP nanofluids were measured to be 44 ± 2, 50 ± 2, and 55 ± 2°, respectively, confirming wettability alteration from oil-wet to water-wet. Interfacial tension was also noticeably reduced with the produced nanofluids at all temperatures, showing their great potential of oil displacement and to prove that a core flooding test was performed, confirming the capability of the stable nanoparticles as effective EOR agents in hydrocarbon reservoirs by recovering an additional 10.57% after brine flooding.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 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 ».