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Results
METHODS Direct imaging of ambient seismic data will require body We have conducted several experiments to explore the body waves to be extracted from the recordings. We use a dataset waves in the Lalor Lake dataset to extract the information from from an mine site in Manitoba, Canada, and a number of data the ambient recordings. Ambient recordings were measured analysis techniques aimed at extracting body waves from ambient for more than eight days in March 2013 at the Lalor Lake mine seismic recordings. The four tools used here are data audification, site in Northern Manitoba, Canada. The first step was to extract power spectral density plots, cross-correlations to some records from the dataset and try to find the optimal identify plane wave energy, and plane-wave dip spectra plots.
We propose a new imaging condition that is based on energy conservation and is directly related to the We propose an imaging condition for passive seismic source mechanism. Unlike the correlation between decomposed data similar to the PS imaging condition, but without P-and S-wavefields typically used in passive step (2) wave-mode decomposition. Our imaging elastic imaging, our imaging condition compares condition attenuates the correlation between identical wavemodes present in the displacement field without waves modes in the displacement field and highlights costly wave-mode decomposition, and produces a strong the correlation of di erent modes at the source. Based and focused correlation at the source location. Numerical on energy conservation of elastic wavefields, we define an experiments demonstrate the advantages of the proposed imaging condition as the di erence between the kinetic imaging condition (compared to PS correlation), and potential terms of a wavefield, which are computed its sensitivity with respect to velocity inaccuracy and using just the displacement field. This imaging condition sparse acquisition, and its quality and e cacy in estimating is successful in elastic imaging with attenuated artifacts the source location.
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Passive Seismic Surveying > Microseismic Surveying (0.74)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.69)
ABSTRACT We present a method for updating P- and S-wave velocity models from (micro-) earthquake waveforms recorded on passive seismic arrays using wave-equation migration and image-domain tomographic inversion. Although seismic waves generated from an earthquake are fundamentally an elastic phenomena, we use independent acoustic approximations for both the P- and S-wave propagation. Our method requires no arrival picking and can thus be used with low signal-to-noise data. It also does not rely on initial estimates of the source locations, and neither on origin time nor known events such as perforation shots. This allows for the application of the method in situations with minimal control points, such as induced seismic monitoring. In this paper we present the inversion theory and provide a synthetic example to show its potential applicability. Presentation Date: Monday, October 17, 2016 Start Time: 3:20:00 PM Location: 144/145 Presentation Type: ORAL
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (1.00)
- Geophysics > Seismic Surveying > Passive Seismic Surveying (1.00)