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When using passive seismic data to detect and locate
sources of seismic energy related to various endogenous
processes the typical situation is that these sources
have to be determined against a strong background, usually
of surface origin. Vanyan and Cole (1990) tried
to cope with this problem using a least squares
method for subtracting unwanted signals in frequency domain.
Here I give some formal basis for applying this
method to passive data, describe a more general multichannel
approach, and show the results of applying both methods to
synthetic datasets.
A detailed description of the least squares
method and its application to conventional seismic data can be
found, for example, in Jenkins and Watts (1968) and White (1973).
The algorithm used to
locate sources was computing the semblance coefficient
along moveout trajectories for all possible source locations
in a 3-D grid (Nikolaev & Troitskiy,1987).
Synthetic datasets were created for the seismic
array used in the SEP drill-bit source experiment
(Cole, 1991), so the synthetics model a realistic case.

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** Up:** Vanyan: Subtracting sources
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Stanford Exploration Project

12/18/1997