Abstract
Seismic imaging is an Earth exploration methodology for identifying subsurface structure. Where it is not feasible to utilise purpose-built sources, ambient seismic energy can be used; however, this requires significant data processing and is difficult to validate. I develop a data processing workflow, quality control measures, and an ambient direct migration approach to mitigate coherent noise in a 3D ambient seismic data set near Lalor Lake, Manitoba, Canada, resulting in images sufficient for identifying subsurface reflectors. Ambient images are compared to a coincident active-source 3D seismic survey to show the similarities between these images, and the success of this method.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 30 May 2019 |
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Publication status | Unpublished - 2019 |