Automated processing and direct migration of ambient seismic data

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.