Coupling the liquid pool and wellbore hydraulic module of the “Prediction and Optimization Software Package”

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

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Identification of Patient Barriers and Success Predicting Metrics for a Clinical Trial Testing Blood Derived Autologous Angiogenic Cell Precursor Therapy in Patients With Critical Limb Ischemia (ACP-CLI)

Regeneration of destroyed arteries using the patient’s own stem cells is an innovative new treatment for Peripheral Artery Disease, that is currently being tested in humans in a Phase II trial. Throughout clinical studies, there has been an issue efficiently recruiting patients and clinical trial sites. Recruitment is recognized as a key determinant of success […]

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Valuation of an oil processing facility

The development of Canada’s energy infrastructure requires significant investment at all levels. Energy companies considering such investments require a complete understanding of the projected value of the prospective asset, as well as the associated risks. Often, a significant portion of the value comes from the flexibility provided by the asset. This project will use option […]

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Development of Remedial Action Objectives for McKay River Watershed Impacted by Open Mines and Steam-Assisted Gravity Drainages

Since the 1960s, the lands of several indigenous communities such as the Fort McKay Métis have been largely impacted by open mines and steam assisted gravity drainages (SAGDs). Such oil sands operations have disturbed large areas, changed geology, hydrogeology, hydrology, aquatic and terrestrial environment, and created a linear disturbance. This research project will map and […]

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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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