Research Portal

Geoscience » Source Rock & Depositional Environment

Central Atlantic Paleo-Oceans and Climates (CAPOC) (part of the PAGEO research program)

December 2020 – December 2022

CAPOC aims to develop the first integrated and high resolution biostratigraphic and isotopic proxy correlation for key intervals of the Jurassic/Cretaceous across the Central Atlantic conjugate margin.

Geoscience » Source Rock & Depositional Environment

Palaeobathymetry and Tectonic Evolution of Lower Jurassic Source Rocks of the Conjugate Nova Scotia-Moroccan Margins (part of the PAGEO research program)

December 2020 – July 2022

This project will address key questions related to the formation processes, structure and subsidence history of the Nova Scotia rifted margin, which are relevant to constrain the Upper Triassic to Jurassic palaeogeography and petroleum systems offshore Nova Scotia.

Geoscience » Source Rock & Depositional Environment

A Spatiotemporal Analysis of Paleobiogeographic Data to Constrain the Timing of Oceanic Connections between the Atlantic, Tethyan, and Pacific domains (part of the PAGEO research program)

November 2020 – May 2022

This project is based on a large-scale collection of previously generated Jurassic and Early Cretaceous nannofossil biostratigraphic data and aims to apply both traditional micropaleontological methods and modern data science methodologies to the in-depth analysis of that large dataset.

Geoscience » Source Rock & Depositional Environment

Tracking Mesozoic Paleoclimate Events on the Nova Scotia Margin: Integrating Biostratigraphic Legacy Data with New Stable Carbon Isotope Analyses (part of the PAGEO research program)

November 2020 – November 2021

This study will obtain empirical evidence for climatic perturbations and regional changes in oceanic circulation patterns by (1) acquiring an extensive dataset of stable isotope measurements from key wells located in the area of interest, (2) integrating these measurements with existing quantitat

Geoscience » Source Rock & Depositional Environment

Analysis of Palaeoenvironment, Palaeoclimate and Palaeooceanographic Models to Predict Distribution of Source Rocks Offshore Nova Scotia (part of the PAGEO research program)

November 2020 – June 2021

The objective of this work is to predict the distribution of Tithonian and early Jurassic (Toarcian, Pliensbachian, Sinemurian, Hettangian) source rocks based on biogeographic principles derived from modern environments, and palaeoenvironmental interpretations derived from palaeogeographic mappin

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

Predictive Modelling of Sandstone Reservoir Quality in the Scotian Basin

May 2016 – December 2018

This project uses existing knowledge of inferred drainage basin areas and paleoclimate to model multiple river inputs to the Scotian Basin. The modelled sedimentary succession is compared with actual sediment thicknesses in the basin.

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

Turbulence in Grand Passage Nova Scotia: Measures of Intermittency

April – December 2016

Turbulence research is very important to advancing the in-stream tidal energy sector, however turbulence in general is not well understood.  Measurement at prospective turbine locations is essential prior to development, given the high degree of spatial variability between sites.