Emulsion Injection for Enhancing the Fast-and-Uniform SAGD Start-up Process

Steam-Assisted Gravity Drainage is the most commonly used in-situ thermal method for recovering bitumen from oil sands formations in western Canada. In this process, two parallel horizontal wells, about 5 m apart vertically, are drilled near the bottom of the formation. Before production, the bitumen between the two wells has to be heated, to become mobile, by circulating steam through the wells for several months. A new technology has been developed to make the inter-well bitumen flow in only a week, in which water is forced into the sands to dilate the pores, followed by steam injection.

Monitoring and Control System Design for Catalyst Manufac!uring Unit

As one of the novel element of a new technology for enhanced recovery and upgrading directly in the reservoir of bitumen and heavy oils, the unit for the online and on-field manufacturing and delivery of nanocatalysts into the reservoir will be constructed during 2015. The specialized and uniquely designed compact device, currently referred to as CATSKID, is currently in the patenting process.

Development and Characterization of All-in-OneEthanol Based Diesel Fuel Additive

The main objective of this research project is to obtain an additive helps to increase the cetane number as well
as reducing fuel consumption in diesel engines. In the proposed study, we will perform the characterization of
available petroleum diesel and analyze their properties. The ethanol based additive later will be added in several
different ratios into the diesel fuel to see their effect on fuel properties (CN, lubricity, emission and distillation
T90).

Research and test of the full waveform inversion method

Full waveform inversion (FWI) is an inversion technique that uses least squares theory to compute a velocity model of the Earth that minimizes the difference between an acquired shot and a synthetic shot. The technique proved to be of hard usage in industry and the goal of the project is to research for solutions that allow the application on real seismic data. The gradient (direction of the model update) will be computed with the PSPI migration and the scale factor (for proper update) will be computed by least squares. The final implement is to apply it on elastic waves (real data).

Asynchronous vs. Synchronous Rumor Spreading

Our intended research will be focused on rumor spreading protocols, also known as randomized broadcasting. In the randomized rumor spreading problem, the goal is to broadcast a message that is initiated at one node to all nodes in a given network, by means of nodes choosing uniformly at random a neighbor and exchanging the message with that neighbor. We can assume two models for these algorithms: a synchronous model in which nodes communicate in synchronized steps (in parallel), and an asynchronous model in which each node has an independent clock that it uses for communication.

Catalytic low cost carbon resources pyrolysis under natural gas for upgraded oil production

Fast pyrolysis followed by hydrodeoxygenation upgrading is the most popular way to produce bio-oil from biomass. A two-step process can be combined together as hydropyrolysis treatment. This approach usually involves continuous hydrogen flow and high operation pressure (15~100 atm), resulting in significantly increased capital and operational costs. Compared to hydrogen, which is not naturally available and thus
costly, methane can be readily obtained as natural gas. Metal loaded zeolites will be prepared as the catalysts by incipient wetness impregnation method.

Source apportionment of black carbon in Calgary, Canada

Black carbon (BC), generated from incomplete combustion of carbonaceous fuels, is one of the two major airborne pollutants that drive climate change and degrade regional air quality. With a warming potential second to CO2, BC contributes the most uncertainty to climate modeling due to its short retention time in the atmosphere and poorly understood mixing, deposition, and contribution from various emission sources. BC from fossil fuel and biomass burning possesses distinct light absorbing properties and aging processes, and hence differing warming potentials.

Data Mining of Urban Mobility Pattern Using Taxi Trajectory Data

Urban mobility results from human movements from one region to another for interaction such as working, trading goods and other social events. Urban mobility has caused not only urban prosperity, but also some problems in the urban system, such as congestion, air pollution, energy consumption, public health and disease transmission. Therefore, understanding urban mobility is very important for urban planning and management. Urban mobility usually has certain patterns such as origin-destination pattern and spatio-temporal pattern.

Methods to improve high-resolution airborne thermal infrared (TIR) imagery in support of urban waste heat mapping, monitoring and metrics

This proposal builds on 5 years of research in the award winning HEAT (Heat Energy Assessment Technologies) project. Every year, billions of GJ of wasted heat leave millions of buildings in thousands of cities world-wide. In an effort to support urban energy efficiency, this research proposes four novel image post-processing techniques to improve/verify the geometry, radiometry and the processing of large volumes of high-resolution airborne thermal infrared (TIR) imagery. Results are expected to enable faster and more accurate urban waste heat mapping and refined waste heat metrics.

CommuterVis: Visually Understanding Commuter Behaviour in Canada

Too many people drive cars for commuting to work. If people used more active and sustainable transportation options this would reduce the impact on the environment and likely increase people’s physical activity and well-being. Our project partner Sustainable Alberta Association (SAA) is a not for profit organization that organize a Canadian annual wide competition called Commuter Challenge held during Environment Canada Week where individuals and work places track their commuting behaviour over a week.

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