<p> A syncline-anticline pair in miogeosynclinal sediments of the western margin of the Labrador Trough was mapped. Samples were taken of each rock unit and a structural analysis was performed. The structure determined was compared in an elementary fashion to geophysics completed over the mapping area. </p> <p> The folds in the pair are highly variable along their length changing from an open to tight folding style and with a rolling plunge varying from 3° NW to 12° SE. </p> <p> The beds of the folds show no internal deformation except for drag folding in the shaly units. The rocks were folded by a flexural slip mechanism. </p> <p> The gravity and ground magnetics successfully outlined the structure of the fold, dipping of the beds and in one instance located a fault. Typical gravity values (signatures) for a number of rock units are easily determined.</p> / Thesis / Bachelor of Science (BSc)

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3D geological modelling is becoming an effective tool for communication and development of geological understanding. This is due to increased computer performance and availability of improved geological modelling software. 3D geological modelling technology has reached the stage where it can be implemented in regionally extensive and geologically complex settings, with the ability to achieve geological insight beyond what could otherwise have been gained through 2D investigations alone. Insight includes better constrained fault and horizon topologies, refined fold geometries, improved understanding of tectonic processes, and characterization of deformational events. By integrating field observations, aeromagnetic maps, and 3D modelling techniques in the northern Labrador Trough, a regionally extensive and structurally complex geological environment, regional faults geometries and topological relationships were refined. Additionally, a new fault, the Ujaralialuk Fault, and two shear zones were interpreted. During modelling, several challenges were identified, including higher computational costs for regionally extensive models, sparse 3D constraints, algorithmic limitations related to complex geometries, and the large investment of time and effort required to produce a single model solution. A benefit of this investigation is that new insight was also gained for a greenfields region which may assist future exploration efforts. Developing 3D models in challenging environments allows for better definition of future workflow requirements, algorithm enhancements, and knowledge integration. These are needed to achieve a geologically reasonable modelling standard and gain insight for poorly constrained geological settings.