Application of Data Analytics Approaches for Solvent-Assisted Bitumen Recovery Pilot Analysis

This project will develop data-driven models for production performance analysis and optimization for solvent-assisted bitumen recovery operations and related processes. Effective operations of solvent processes are crucial for improving oil production and maintaining a low solvent-to-oil ratio (SOR).

Simeio: Anomaly Detection for Building Automation System

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis.

Smart Work Zone Management

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by the partner organization to find an insight as to how far upstream and downstream of the work zone congestion propagates.

A Framework to Assess the Seismic Resilience of Hospital Infrastructure in Metro Vancouver

Healthcare infrastructure plays a key role in the recovery of communities in a post-disaster scenario. In seismically active regions, such as western Canada, an understanding of the seismic performance of hospitals is essential to inform emergency management and effectively mitigate earthquake risk. This research project aims to develop new methodological approaches to integrate seismic risk assessments into the decision-making process of healthcare facilities management.

Biogeocemenation of a Coal Mine Tailings Pond

A decommissioned mine facility in Canada is looking for a new and innovative way to handle mine waste and reclaim the mine site. The potential solution to this problem is the use of microorganisms which are capable of producing calcite, or cement, as part of their natural biological process. These microorganisms will be combined with the mine tailings in test cells in the lab to produce a cement, which will then be tested for milestones like strength and moisture content. BGC Engineering Inc.

XFEM-based fatigue crack growth simulation and surrogate model development for probabilistic remaining fatigue life prediction of pipelines

Pipelines have significantly contributed to the Canadian energy industry and overall economy. Specifically, nearly 60% of energy consumed in Canada comprises of oil and gas delivered through pipelines. However, in pipeline steel, many failures were caused by cracks during pipeline operation. The proposed research project aims at developing a reliable and effective tool to predict fatigue crack growth under cyclic fatigue loading.

Data-driven modeling and uncertainty quantification in infrastructure science and engineering

Few centuries ago, building palaces and castles were based on past experiences and observations, hence, resulted in very inefficient designs with wall sometimes as thick as 1~2m. Today, computer modeling provides a low-cost way of predicating what may happen when engineering structures are subjected to different loads and conditions. We know that some loads are such as weight of the structure, however, others like wind can have a probabilistic nature.

Summer-season streamflow prediction model for the Oldman River Basin

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. Streamflow predictions can also improve water use efficiency and provide early drought and flood warning. The importance of streamflow forecasting is rising with climate change, causing more frequent and hazardous flood and drought events.

Determination of Structural Behavior of UHPC Decked-I-Beam

This Mitacs project will develop and determine the structural performance of a novel bridge construction method using precast girders and precast deck slabs made of ultra high-strength and durable concrete. Full-scale tests and computer simulations will be conducted to accomplish the goal of this project. The test data obtained from this study will be analysed to determine the performance and suitability of this beam girder for its use in large-span vehicular road bridges.

Automated Diagnostic System for Remote Monitoring of a Concrete Dam

Structural Health Monitoring (SHM) has tremendous potential to detect incipient structural failures in various components, e.g., onset of fatigue damage, corrosion, spalling and delamination in the structures during their service life, so that preventive actions can be employed in a timely manner. St. Clair Region Conservation Authority (SCRCA) has felt immediate need for real-time monitoring of W. Darcy McKeough Floodway, one of the flood control dams that has been subjected to fluctuating operational conditions, adverse weather and climate change over many years.