Low Dosage Novel Surfactant Technology for Improving Polymer Injectivity in Atlee Buffalo Oil Pools
Notice bibliographique
Résumé
Abstract For a successful polymer EOR application, maintaining high polymer injectivity below fracture pressure is important to prevent fracture propagation in the reservoir causing fast breakthrough. Adding surfactant into the polymer system can facilitate the reduction of interfacial tension between injected fluids and reservoir oil, enabling more efficient oil displacement and enhanced sweep efficiency. Additionally, tailored surfactant can modify rock wettability and mitigate polymer retention in the reservoir, and thereby improve polymer injectivity and well production. In this work, a detailed surfactant selection workflow and key strategies are presented to evaluate the efficiency of surfactants in improving polymer injectivity for the Atlee Buffalo oil pools in Canada. Laboratory analyses encompassed fluid characterization, interfacial tension (IFT), emulsion tendency, and polymer compatibility. These preliminary tests enabled the pre-screening of surfactants and the optimization of surfactant dosages. To further validate surfactant performance, core flood (CF) experiments were conducted using sandstone cores that closely resembled the reservoir's permeability and mineralogy. The CF employed a meticulously designed injection scheme to evaluate the impact of surfactants on improving polymer injectivity. Given the low dosage application strategy, it is imperative to choose a surfactant that can consistently maintain a low IFT at low surfactant concentrations. The preliminary IFT scans revealed that novel surfactant could maintain IFT from 0.15 to 0.43 mN/m for different pool oils at low concentrations. Furthermore, additional testing has confirmed that the surfactant does not induce any tight emulsions, thereby mitigating surface-related complications during production. Viscosity measurements have indicated that the surfactant has no discernible impact on the fluid viscosity influenced by the polymer, demonstrating the compatibility between the polymer and surfactant solution. Significantly, in the multiphase CF tests, it was evident that the selected surfactant led to an approximate 2.8 to 4.2 times enhancement in injectivity during polymer flooding. Moreover, under the protective influence of surfactant, injectivity loss was four times slower during polymer flooding when oil saturation dropped below 30%. Furthermore, by combining the low-dosage surfactant with polymer, an additional 15.3% oil recovery was observed after polymer injection alone. These results underscore the substantial benefits of adding novel surfactant in improving injectivity and overall oil recovery. In contrast to conventional surfactant-polymer flooding, this study explores a strategy of applying a low dosage surfactant to enhance polymer injectivity. By properly tailoring the surfactant, this approach harnesses the synergy between surfactant and polymer to address the challenges posed by high viscosity oil reservoir. Notably, after conducting a field trial in an Atlee Buffalo oil pool with the recommended low dosage surfactant, injection data demonstrates that it can stabilize and improve the polymer injection process.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».