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ADAPTIVE SELECTION OF THE CHANNELS OF SMALL APERTURE SEISMIC ARRAYS FOR CROSS-CORRELATION PROCESSING

S. I. Sergeev

First published: 2018-06-20https://doi.org/10.5593/sgem2018/1.1/s05.089View metrics

Abstract

The development of methods for automatic preprocessing of observational data of small-aperture seismic arrays that precede the detection and identification of seismic events by the method of waveform cross-correlation is considered. Preprocessing is based on adaptive channel selection. The methods developed by us provide for the calculation of the quality metrics of the seismic channel by means of spectral and amplitude analysis of records. The selection of channels is based on the correspondence of the quality of records to predetermined criteria. As a result of the selection, a list of records admitted to the correlation processing is formed. This list can contain fewer channels than there is in the initial records of the small-aperture seismic group. The final result of the selection of channels is to increase the average for the group of coefficients of cross-correlation of the samples with the investigated records in comparison with the situation when all available records are ?allowed? to processing. As a result of applying the described methods to the records of the small aperture array ?Mikhnevo? (MHVAR) of the Institute of Geosphere Dynamics of the Russian Academy of Sciences, an increase in the average value of the cross-correlation coefficients reached 14%.

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Publication details

Title
ADAPTIVE SELECTION OF THE CHANNELS OF SMALL APERTURE SEISMIC ARRAYS FOR CROSS-CORRELATION PROCESSING
Authors
S. I. Sergeev
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2018
Pages
707-714
SWS Citekey
Sergeev20185707714
ISSN
1314-2704
ISBN
978-619-7408-35-5
Language
en
Publication type
Conference Paper
Keywords
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