Presenter: Sam Ghantous
Title: The Kinematic and Metamorphic History of the Dover Fault
Supervisor: Dr. Eric Thiessen

Abstract: The ~400 Ma Acadian orogeny involved the ribbon continent Avalonia accreting to the eastern margin of Ganderia. In Newfoundland, this tectonic boundary is preserved in the Gander Zone and consists of eastward-increasing metamorphic grade and strain within the left-lateral Wing Pond Shear Zone (WPSZ) and right-lateral Dover Fault Shear Zone (DFSZ), where this study is focused. Schists in the WPSZ record Acadian prograde metamorphic monazite growth ca. 420 Ma, and peak metamorphic (Grt+St) monazite growth ca. 415 Ma. This peak metamorphic age is synchronous with in situ muscovite Rb-Sr ages that define left-lateral fabrics in a mylonitic granite. Metapelites in the DFSZ record peak metamorphic assemblages of Chl+Ms±And, consistent with greenschist facies conditions. Muscovite that define right-lateral kinematics in mylonitized leucogranite within the DFSZ yield Rb-Sr ages ca. 390 Ma. Granitoid rocks and beryl-pegmatites retain ca. 430 Ma primary muscovite Rb-Sr ages in low-strain phenocrysts while muscovite that defines mylonitic shear bands date distinctly younger shearing events ca. 415 Ma and 390 Ma, linked to peak and retrograde metamorphism. This study produces a refined tectonic model for the Acadian orogeny in Newfoundland, integrating field and structural data with a constrained metamorphic and kinematic history.

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Presenter: Ben Roque
Title: Trials and Tribulations of Automating the Search for Reservoirs Suitable for CO2 Storage Within the Jeanne d'Arc basin
Supervisors: Dr. Alison Malcolm and Dr. J. Kim Welford

Abstract: The Jeanne d'Arc basin is a promising target for Carbon Storage as there is existing infrastructure and expertise in the region that solve many of the problems of transporting CO2 offshore and pumping it underground. Despite an ample number of seismic surveys within the basin, a major obstacle of developing carbon storage projects in the basin is finding reservoirs suitable for carbon storage. My project aims to automate the process of discovering these reservoirs from 3D seismic data utilizing machine learning techniques grounded by well logs. 

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Location: ER-4065

Date and Time: Thursday, Mar. 19 at 12:00 PM - 01:00 PM (NDT)

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