Extended Technology Assessment of Advanced In-situ Recovery Methods for Oil Sands

In-situ recovery methods for oils sands are applied to reservoirs containing bitumen that are too deep for mining. To date there has been only one commercially viable in-situ recovery method, Steam-Assisted Gravity Drainage (SAGD), involving high pressure steam injection and bitumen production using horizontal well pairs located near the base of oil sands formations. While SAGD has enabled conversion of significant resources to reserves (about 170 billion barrels), SAGD has many economic and environmental limitations.

Fast and robust real-time precise point positioning - Year 2

The main outcome of this Mitacs-sponsored project will be a robust navigation software capable of providing accurate navigation solutions for commercial Unmanned Aerial Vehicles (UAVs). Such a software will further elevate the industrial competitiveness for the partner corporation, the Profound Positioning Inc. (PPI). After finishing this project, PPI will be able to offer more comprehensive embedded integrated UAV navigation products.

Quality Assessment and Enhancement of Retinal Images

Babies who are born prematurely are at risk of developing a condition called Retinopathy of Prematurity (RoP), which if left untreated, can lead to permanent blindness. RoP causes characteristic changes in the retinal vasculature,
which can be seen when looking into the eye. Because the infants need to be monitored regularly for this condition, and certain traits need to be carefully identified, a special camera is used to take a picture of the retina. These pictures can then be studied for signs of RoP by an ophthalmologist.

Development of a hybrid seismic data inversion method for determining well-drilling location at complex geophysical area - Year two

Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and new research results in seismic inversion, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott field, which will improve the success rate in drilling.

Feasibility Study of Biometric Technologies for Calgary Drop-In & Rehab Centre Society

This project focuses on solving problems related to safety and security of clients and personnel of the Calgary Drop-in & Rehab Centre Society. Their IT department tasked the Biometric Technologies Laboratory Lab, University of Calgary with determining what biometric technologies can be used for identification of clients for access to services, to monitor the safety of both clients and the personnel. The Lab will investigate the feasibility of usage of infrared and video recordings of face biometrics for these purposes.

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 municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels.

An Agile monitoring tool integrating risk, safety, and digital data infrastructure management

An innovative tool is proposed to integrate agile risk, alert, team, safety, and digital data infrastructure management into a Micro Engineering Tech Inc. (METI) current structural health monitoring system (SHM), mobile mapping system (MMS), and building information modeling (BIM) that will be called Agile Monitoring Tool. Agile Monitoring Tool includes a comprehensive project management software (CPMS) package that consists of three systems as follows. First is an SHM; the structure health monitoring development was originally part of a past successful R&D project. Second is a MMS.

PART B- Conversion of CO2 and H2O to Syngas Using Reversible Solid Oxide Fuel Cells (RSOFCs) Technology

The main objective of this project is to demonstrate the highly promising performance of our world-leading catalysts in a scaled-up solid oxide electrolysis cell (SOEC) system. SOECs can efficiently convert the greenhouse gas, CO2, or mixtures of CO2 and H2O, to useful chemicals and fuels, while running on excess electricity, thus serving to store intermittent electricity generated by wind and solar.
The SOECs developed to date in our group are based on a family of new catalysts composed of low cost earth-abundant metals. These cells (ca.

PART A- Conversion of CO2 and H2O to Syngas Using Reversible Solid Oxide Fuel Cells (RSOFCs) Technology

The main objective of this project is to demonstrate the highly promising performance of our world-leading catalysts in a scaled-up solid oxide electrolysis cell (SOEC) system. SOECs can efficiently convert the greenhouse gas, CO2, or mixtures of CO2 and H2O, to useful chemicals and fuels, while running on excess electricity, thus serving to store intermittent electricity generated by wind and solar.
The SOECs developed to date in our group are based on a family of new catalysts composed of low cost earth-abundant metals. These cells (ca.

Enhanced Techniques for History Matching and Forecasting of Petroleum Reservoir Data

History matching refers to calibrating numerical or analytical models by the observed data. However, this task can be very challenging in presence of complex geology and/or many unknown data .
The purpose of this project is to introduce and apply the new techniques for efficient creation of predictive history-matched models for reservoir characterization of conventional and unconventional reservoirs, which can be used for probabilistic forecast and uncertainty quantification.

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