Feasibility Study of Lean Oil Sand as Base and Surface Material on Gravel Roads in Alberta
Notice bibliographique
Résumé
A major concern has been raised by Imperial Oil Inc. that dust issues extensively occurred on the gravel roads in Kearl Lake Oil Sand site in northern Alberta, Canada. Some mitigation measures had been utilized to minimize the dust. Preliminary results showed that the dust has been well controlled by applying Lean Oil Sand (LOS)-granular mixtures. \nA site survey has been conducted by the Centre for Pavement and Transportation Technology (CPATT) at University of Waterloo and Imperial Oil Inc. to assess the conditions of selected gravel roads at Kearl Lake site. Recommendations on road maintenance have been provided based on the findings through visual inspection, discussions with site personnel, and physical testing at the site. \nThe effectiveness of preliminary application of LOS on the gravel roads at Kearl Lake site prompted further research on the feasibility of applying LOS as surface or base material in gravel road design. A suite of laboratory tests, including moisture content test, extraction test, gradation test, proctor test and California bearing ratio test, have been designed and conducted at CPATT to evaluate the mechanical properties of LOS-granular mixture samples with three different mixing ratios. The results show that the bitumen content of LOS provided by Imperial was found in a range of 3-4.5% by weight which can be defined as low graded oil sand. The pure LOS and the 30% granular and 70% LOS mixture are only suitable for sub-base materials. The granular material used on site, 50% granular and 50% LOS mixture, and 70% granular and 30% LOS mixture are applicable for both base and sub-base materials. However, none of these materials are suitable for surfacing material due to lack of fine aggregates. The CBR values of the granular-LOS mixtures are mainly dependent on the granular percentage. Higher granular content generally results in a higher CBR value. \nPavement structural thickness design analysis has been performed considering the introduction of LOS. The AASHTO design chart method is converted into an equation-based method using digitization and regression analyses. A parametric study showed that for gravel roads that require high performance, LOS can be used as a binding agent and mixed with granular materials for mitigating the dust effect. A low mixing percentage of LOS such as the 70% granular and 30% LOS mixture should be used in this case to maintain the strength of base layer. For gravel roads which require a relatively lower performance, a higher amount of LOS may be applied into the mixture with granular materials. In this situation, the introduction of LOS can both save the cost of granular materials and mitigate the dust effect.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».