Controlling microbial processes in fracing fluids

Unconventional gas reservoirs are a great energy resource in the province of BC and Alberta and thus for Canada in general. Extracting this resource is not as straight forward as conventional gas reservoirs and requires hydraulic fracturing, also known as fracing or fracking, which has recently become a controversial topic in the public eye. This […]

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Segment-based Fleet Management System for Semi Real-Time Analysis

Traditional fleet management systems suffer from zone-based aggregation. i.e. they use aggregate zone-level road and terrain characteristics to estimate trip performance indicators. In addition, most of these systems require intermediate ad-hoc staging tables to generate trip performance reports. To address these limitations, this research aims at developing a segment-based fleet management system for near real-time […]

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Intelligent Residential Energy Management Utility Controller

To research, design, and develop a network communication and control modules that integrate any residential HAVC control system with a utility energy management user interface. Developed signal modulation scheme will be implemented on development testing board. Device will network with all utilities for gas, water, and electricity.

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Study of the Catalytic Effect of MFD on CuFeS2 Leaching

Bio-heap-leaching is a hydrometallurgical process used to process low grade chalcopyrite ore as the cost of alternative routes of processing and refining are not economically viable. The limitation however of the heap leaching process is the long time it takes to leach the metal and the low total recovery that can be achieved. As heap […]

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Malicious Traffic Predictive Indicators in Content Delivery Networks: a Big Data Analytics Approach

Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project […]

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Recurrent Deep Architectures for Modeling Time Series Data

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the […]

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Upgrading of Hydrofaction™ Oil to transport fuel blendstock

Hydrofaction™ is Steeper Energy’s proprietary hydrothermal liquefaction technology that converts low value biomass residues to renewable crude oil using supercritical water and homogeneous catalysis. Steeper Energy Canada (SEC) is focused on identifying optimal pathways for upgrading Hydrofaction™ Oil into renewable diesel and jet fuels. Amidst plummeting crude oil prices, such renewable fuels still command attractive […]

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Upgrading of heavy and high-contaminant Hydrofaction™ Oil, to fuels blendstock with the use of Catalytic Steam Cracking

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from […]

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