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Abstract

Summary

This work is divided into two stages. At first we are using P-picks from 16 events and 1551 receivers to create a master event set. We interpolated the move-out curves of each receiver line using different fitting methods and combined them into one master move-out curve set.

In the second part we stack seismic parameters according to the master move-out curves to maximize the signal-to-noise ratio in order to locate new events within the rest of the data set. The earlier created master event set will be used to minimize the parameter search effort. They will narrow down the search for the optimal move-out curve. Iteratively stacking over the interpolated move-out curves will then result in detecting new events within the data set.

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/content/papers/10.3997/2214-4609.201601615
2016-05-30
2024-04-20
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References

  1. Neidell, N. and Tanner, M.
    [1971] Semblance and other coherency measures for multichannel data. Geophysics, 36(3),482–497.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201601615
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