In the wake of the Paris meeting on global climate change in December of 2015 (COP21), commitments to drive down greenhouse gas emissions have escalated around the world. Man-made carbon dioxide (CO2) emissions are accepted as the largest contributor to climate change. Promising next-generation technologies for decreasing CO2 emissions are being investigated at the lab scale. Unfortunately, the technology developers often lack next-step projects and connections with industrial end-users to allow the technology to advance and become commercialized.
The primary functions of the Risk Alive Analytics tool are to predict risk and time to unsafe days and predict the occurrence of hazardous events (incidents with the potential to cause injury to personnel, damage to the environment, or financial loss) at given processing facility(s) and in addition develop a Risk Profile of a facility under study, and benchmark it to other facilities and similar equipment and processes. ACM has gathered a large amount of process hazards and risk analyses (for example, Hazard and Operability Studies) and data on Oil & Gas facilities and pipeline operations.
Current real-time precise point positioning (PPP) systems still suffer significant challenges. One is its long position convergence time necessary before precise position solutions become obtainable. Another is its sensitivity to the loss/latency of high-frequency precise orbit and clock corrections, resulting in degraded performance. Those challenges have limited PPP's adoption in many applications. This project aims to develop a fast and robust real-time PPP system.
Perfusion imaging with a CT scanner provides important information about blood flow and, in acute ischemic stroke, highlights regions of brain infarct, where tissue has died because of a lack of blood flow. This infarct region continues to grow over time until blood flow is restored. Being able to predict the rate of infarct growth would provide doctors with a key piece of information (currently unavailable) that would help them decide on a course of treatment.
Nowadays, there is a rapid increase in the use of Unmanned Aerial Vehicles (UAVs) for commercial and civil applications. Fully autonomous or remotely controlled UAVs requires a reliable and continuous navigation system providing meter level accuracy. The cost, size, and power demand of navigation systems providing this level of accuracy preclude their use on commercial UAVs. To provide a viable and alternative option, this research will focus on developing a navigation system for UAVs that minimizes costs, while maintaining reasonable performance standards.
The most common cause of chronic aortic insufficiency (AI), a backwards leaking of blood through the aortic valve, are congenital valve disease, degenerative valve disease, and primary diseases of the surrounding aorta. Current management of severe AI is to surgically replace the valve based upon generic 2D imaging measures of severity and progression. However, 4D MRI flow has been recently introduced and may offer a paradigm shift in the ability to characterize AI, particularly due to different disease states.
Avian Reovirus (ARV) is an economically important virus that is affecting poultry flocks in Alberta. Birds infected with pathogenic ARV may develop a disease named viral arthritis/tenosynovitis which is characterised by lameness, swollen joints, rupture of tendons and increase mortality. The disease is controlled by parent stock vaccination with live and/or inactivated antigen to provide passive immunity to the chicks. As local strains have been found to be different from commercial vaccine strains, protection can only be achieved with vaccines made from local strains.
Corrosion of metal-based infrastructure (for example, pipes) is an enormously costly problem faced by many industries including power generation, oil production, transportation, beverage production and water storage and distribution. It is now known that microorganisms can in many cases cause and/or worsen metal corrosion - a phenomenon known as microbiologically influenced corrosion (MIC). OSP Microcheck Inc provides products to diagnose for MIC. Once diagnosed correctly, MIC type corrosion can be treated or further prevented more effectively than if left undiagnosed.
Modern roundabouts have become a subject of great interest and attention over the last few years. Compared to regular signalized intersections, roundabouts have the potential to reduce vehicular delay, emissions and increase safety. The objectives of this study is to conduct a life cycle cost analysis (LCCA) to examine the short and long term benefits from a multi modal perspective. This research aims to articulate a more thorough understanding of safety and operational performance of multimodal roundabout based on LCAA.
Oil-sands reservoirs offer huge resource potential with very low decline rates compared to other unconventional exploration targets. Unfortunately, this comes with the trade-off of requiring high initial investment as well as high operating costs. In order for such projects to be economic in the long-term, it is essential that we monitor changes in the reservoir to maximize production and by extension, return.
Time-lapse (4D) seismic monitoring is a common, cost-effective means of monitoring changes in reservoir due to production. Using amplitude vs.