Hydrolytically Degradable Cationic Flocculants For Improved Water Recovery From Mature Fine Tailings
Notice bibliographique
Résumé
Oil sands mining operations in Canada produce large volumes of waste tailings that are difficult to dewater using commercial polyacrylamide-based flocculants. Recently, a novel hydrolytically-degradable polymer was synthesized through micellar radical polymerization of short-chain polyester cationic macromonomers. Poly(PCL2ChMA), made of polycaprolactone choline iodide ester methacrylate with two polyester units, effectively treated mature fine tailings (MFT) solutions as evaluated by measuring initial settling rate, supernatant turbidity, and capillary suction time (CST) of the sediments. Moreover, the novel materials become more hydrophobic with time, leading to an 85% reduction in CST after accelerated degradation for one week at 85 °C. The achievements described in this follow-up work are twofold. First, a procedure was developed to directly measure the extent of sediment dewatering that results from the polymer degradation, as previously the performance was indirectly inferred through CST measurements. Second, an investigation of the relationship between macromonomer structure and the performance of the polymer flocculant has led to the development of an improved material. Neither the substitution of PCL with poly(lactic acid) (PLA) units or replacement of the methacrylate functionality with acrylate greatly affects the ability of the resulting cationic flocculants to settle and separate the sediments in diluted MFT solutions because the synthesized polymers had similar charge densities and molecular weights. However, the faster degradation rates of the PLA-based materials lead to significantly faster dewatering of the sediments. 50% compaction was observed in PLA-polymer flocculated samples held for 5 days at 50 °C, whereas it was necessary to increase the temperature to 85 °C to achieve the same dewatering with the PCL-polymer flocculated samples. As a comparison, it was found that dewatering did not occur when the MFT material was flocculated with a non-degradable cationic polymer, non-ionic PAM, and commercial anionic FLOPAM A3338. A similar 50% compaction occurs in MFT sediments flocculated with LA-based polymers held at room temperature over several weeks, indicating that these materials degrade at a fast enough rate to provide solids compaction under field conditions.
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Comment cette classification a été obtenuedéplier
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) | 0,000 | 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 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».