The broad objectives of this research include: (1) to develop an accurate picture of the extent to which digital technologies have been adopted by extractive industries, (2) to understand factors that have impacted on the pace of digitalization, (3) to develop an understanding of how further digitalization could transform extractive industries and the communities and regions in which they operate, and (4) to provide guidance and advice to key stakeholders (industry, governments, institutions, communities) with respect to addressing the opportunities and challenges arising from digitalizatio
Lyan Eng. Developments Inc. is looking to find novel ways to make processes in the energy sector more cost efficient. The results from this project have significant applications to pipeline integrity and platform integrity for sub-sea and off-shore applications. The robust failure prediction models are going to help engineers in various disciplines to accurately predict failure in complex structures.
Research has shown that rolling muscles can increase flexibility without hindering performance as well as to heighten pressure pain threshold. It was also shown that topically applied gels, which contain menthol, result in a cooling sensation and reduce the sensation of pain. While both modalities are suggested to influence pain perception through different pathways, their interactive effects have never been examined.
All shipping and marine activity is subject to risks, such as flooding and capsize in extreme seas. Shipping in cold winter conditions is subject to additional risks, such as ice accretion on the topsides, which in extreme cases can cause capsize. The catastrophic capsize of smaller vessels due to icing is still taking place, with the subsequent loss of life (Arctic Operations Handbook 2013). The consequences of a capsize in a remote area has a large financial and regulatory impact as well as subsequent environmental damage to the ice prone areas.
The purpose of this project is to change the way piplelines are sourced for potential leaks. Currently, gas sniffers that detect gas near the pipeline monitor subsea pipelines. However, these sniffers do not differentiate between gas types and are unable to determine the source of the detected gas. Therefore, sniffers are unable to confirm if the detected gas is thermogenic methane leaking from the pipeline or an alternative nearby gas. This can lead to costly false positives that make the process inefficient.
The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities in sea ice modeling, calculating parameters of ocean interaction with sea ice and designing algorithms for satellite data processing and analysis.
Now, a new local resource — college research interns — combined with modern technology, will help Anaconda drill into a new solution for developing the placer mine.
Supported by Mitacs, students from College of the North Atlantic are helping the company find a cost-effective mining process to extract gold from Deer Cove, while leaving the natural habitat largely intact. It’s the first Mitacs project in Newfoundland to pair college interns with industry.
In the last couple of years, Canada’s Atlantic salmon farms have faced a surge of parasitic sea lice, making them susceptible to infections or killing entire stocks. Globally, the spread of sea lice now costs up to $1 billion dollars in lost revenues annually.
In recent years, face recognition algorithms based on deep neural networks have achieved human-level performance when tested on face recognition database. However, when put into real-world application, those algorithms are not robust enough, due to factors such as different lighting conditions, camera distance, and face orientations.