The proposed research is focused on designing and optimizing novel catalysts that catalyze the activation of methane, the principal component of natural gas, to upgrade heavy oil, and obtaining a comprehensive understanding of the involved reaction mechanism. Heavy oil is upgraded to meet the pipeline transportation requirements, while methane is incorporated to the formed synthetic […]

Intelligent Transportation System (ITS) enables smart traffic management and provides various innovative services including better safety, more road information, etc., which has drawn a lot of attention. The development of next-generation ITS services and applications must depend on more accurate positioning information at decimeter to even centimeter-level. Such capabilities are crucial because all of the […]

Intelligent Transportation System (ITS) enables smart traffic management and provides various innovative services including better safety, more road information, etc., which has drawn a lot of attention. The development of next-generation ITS services and applications must depend on more accurate positioning information at decimeter to even centimeter-level. Such capabilities are crucial because all of the […]

Surface degradation during Oil & Gas and Mining operations in the Province of Alberta are pervasive. This has resulted in extensive research and development activities into the development of advanced surface modifications that are based on overlays and coatings. Most research effort has focused on materials selection, fabrication, and optimization of wear performance of those […]

Foamy oil behavior is a unique phenomenon associated with cold production of heavy crude oils. It is believed that the foaming mechanism has a significant impact on the abnormally high production rate of viscous crude oils observed in many heavy oil producing reservoirs through solution gas drive. Due to the non-equilibrium nature of the foamy […]

Foamy oil behavior is a unique phenomenon associated with cold production of heavy crude oils. It is believed that the foaming mechanism has a significant impact on the abnormally high production rate of viscous crude oils observed in many heavy oil producing reservoirs through solution gas drive. Due to the non-equilibrium nature of the foamy […]

In the upstream pipelines, the application of the internal pipeline coatings with specialized polymer has been utilized to protect pipeline from corrosion and abrasive wears. The coatings are rearranged or re-lined when the coating wears out. However, there is no direct and continuous monitoring for the integrity of internal pipeline coatings. Thus the rearrangement or […]

In the upstream pipelines, the application of the internal pipeline coatings with specialized polymer has been utilized to protect pipeline from corrosion and abrasive wears. The coatings are rearranged or re-lined when the coating wears out. However, there is no direct and continuous monitoring for the integrity of internal pipeline coatings. Thus the rearrangement or […]

Microbial activities in oil and gas operations can be beneficial or detrimental which economically impact the energy industry. Microorganisms can be responsible for souring and microbiologically influenced corrosion which damage oil and gas infrastructure, but they can also play a beneficial role in enhancing energy production, recovering chemicals from waste streams, bioremediation, and biofuel production. […]

Microbial activities in oil and gas operations can be beneficial or detrimental which economically impact the energy industry. Microorganisms can be responsible for souring and microbiologically influenced corrosion which damage oil and gas infrastructure, but they can also play a beneficial role in enhancing energy production, recovering chemicals from waste streams, bioremediation, and biofuel production. […]

Machine learning (ML) is a method of training a computer to learn from data and predict future outcomes based on existing patterns in the data. This project aims to utilize various ML methods as new and potentially better analytics and predictive tools in the area of credit risk management for ATB. Given that data quality […]

Based on the original Statistical Inventory Reconciliation(SIR) Test Method (Quantitative), K-folds cross validation is used to increase P(D) and decrease P(FA) by adjusting K, which are related to bias and standard deviation. There is a trade-off between bias and variance, with very flexible models (overfit) having low bias and high variance, and relatively rigid models(underfit) […]