Research Portal
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Geoscience » Source Rock & Depositional Environment
Microbial Genomics for De-Risking Offshore Oil and Gas Exploration in Nova Scotia
April 2016 – March 2021
The purpose of this $6.5M project is to develop, validate and deploy different genomics-based bioassay tools for offshore prospecting on the Scotian Slope.
Geoscience » Source Rock & Depositional Environment
Source Rock and Geochemistry of the Central Atlantic Margins
September 2014 – August 2017
This project evaluates known, probable and possible source rocks in the Nova Scotia shelf and deep water offshore areas with an emphasis On the Triassic– Jurassic time interval.
Drones and Drifters – The Great Pumpkin Race
October 2016 – July 2017
This project tested and developed a new low-cost approach to collecting oceanographic measurements for use in tidal initial site assessments. The plan combines one of the oldest tools in oceanography, the drifter, with one of the newest, the drone.
Geoscience » Source Rock & Depositional Environment
Sydney Basin and Nova Scotia Forensic Geochemistry
May 2016 – March 2017
Sydney Basin and Nova Scotia Forensic Geochemistry
Passive Acoustic Monitoring of Cetacean Activity Patterns and Movements Pre- and Post-deployment of TISEC devices in Minas Passage
June 2011 – July 2013
This project aimed to conduct pre- and post- in-stream tidal energy device deployment assessments of marine mammal activity and to assess the potential risk for interaction with turbine infrastructure.
Community and Business Toolkit for Tidal Energy Development
November 2011 – March 2013
This toolkit covers the science, technology, business and community aspects of tidal energy development in Nova Scotia, effectively integrating the applied, natural and social sciences. It can serve as a model for future applied interdisciplinary work on tidal energy and marine renewables.
Cross Coupling between Device Level CFD and Oceanographic Models Applied to Multiple TISECs in Minas Passage
October 2011 – January 2013
This project aimed to develop a link between oceanographic computer models and Computational Fluid Dynamics (CFD) models in order to improve state-of-the-art modelling techniques used for resource assessments and tidal turbine siting for both single and multiple in-stream tidal energy devices.