Identification of geological controls on productivity of low-permeability reservoirs using multivariate statistics

The Montney and the Duvernay formations, both are prolific low-permeability reservoirs currently developed using multi-fractured horizontal wells. Taking advantage of the enormous well database from these reservoirs, we aim to identify the key geological parameters controlling the well performance. Overall, a combination of nearly 40 different variables per well are known for affecting the reservoir […]

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Study of DME Injection in Oil Sands Reservoirs

Thus far Steam-Assisted Gravity Drainage (SAGD) has been the sole commercially viable in-situ recovery method to extract Canadian oil sands that are too deep for mining. It involves high pressure steam injection and bitumen production using horizontal well pairs located near the base of oil sands formations. While it has enabled conversion of significant resources […]

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CardiAI Point-of-Care Device for High-Caliber and Rapid Diagnosis of Biomarkers from Blood of Patients for Early Heart Failure Detection

The aim of this research and development project is to design and develop a bedside point-of-care device to be equipped with the CardiAI’s machine learning technology for heart failure management. Our POC system will include disposable cardiac biomarker strips and an electronic reader. Once implemented, it will be connected to the AI platform that will […]

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A comparison of neurocognitive performance in individuals with advanced Parkinson’s disease in Hong Kong and Canada

Over 100,000 Canadians are living with Parkinson’s disease. Difficulties with cognition such as memory, fluency saying words, controlling impulses, and processing visual information are very common. Accurate cognitive assessment is critical and directly affects key decisions about the patient’s eligibility for medical and surgical care. However, a problem is that most cognitive tests are developed […]

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Oil price prediction using dynamic multiresolution modeling

In this project, we will explore novel modeling methods to predict oil prices, based on a combination of machine learning methods with dynamic multiresolution analysis. The objective is to develop a software to better forecast oil prices. Oil is the world’s leading fuel, and its prices have a big impact on the global environment, the […]

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SAGD Wind Down and Post-SAGD Energy Scavenging

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 […]

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Transdiagnostic Features of Gambling Disorder and Substance Use Disorders

Increasingly, addictions are being conceptualized by their similarities. These similarities, or transdiagnostic processes, are thought to underlie addictions. That is, addictive disorders are thought to be distinct manifestations of similar underlying pathologies. Being able to understand the similarities of multiple addictive disorders may enable the simultaneous treatment of numerous addictions, creating a more effective treatment […]

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Developing the use of UAV Imagery Systems for Agriculture Applications

During the last decade, Unmanned Aerial Vehicles (UAVs) drew the attention to be used as platform for imagery systems for different applications including agriculture applications. Therefore, the proposed research aims to develop the use of UAVs for specific important agriculture applications as weed management. These developments include the use of low-cost imagery sensors for these […]

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On Mechanisms of Water Flooding in Heavy Oil Systems

Water flooding is the most widely applied enhanced oil recovery (EOR) process in both light and heavy oil reservoirs. In this process, water is injected into the reservoir through an injection well to displace oil in front of it towards the production well. As discussed in the attached proposal, it is generally accepted that theories […]

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