Array-conditioned deconvolution of multiple component teleseismic recordings
Name
paper16_Chen_ArrayDecon_2010.pdf
Size
14.91 MB
Format
Adobe PDF
Checksum (MD5)
818baff7930dd8c037609a3a20ec8c4b
Author(s)
Chen, C. -W.
Rondenay, Stephane
Miller, D. E.
Djikpesse, H. A.
Date Issued
January 1, 2010
Publisher
Massachusetts Institute of Technology. Earth Resources Laboratory
Series/Report no.
Earth Resources Laboratory Industry Consortia Annual Report;2010-16
Abstract
We investigate the applicability of an array-conditioned deconvolution technique, developed for analyzing borehole seismic exploration data, to teleseismic receiver functions and data preprocessing steps for scattered wavefield imaging. This multichannel deconvolution technique constructs an approximate inverse filter to the estimated source signature by solving an overdetermined set of deconvolution equations, using an array of receivers detecting a common source. We find that this technique improves the efficiency and automation of receiverfunction calculation and data preprocessing workflow. We apply this technique to synthetic experiments and to teleseismic data recorded in a dense array in northern Canada. Our results show that this optimal deconvolution automatically determines and subsequently attenuates the noise from data, enhancing P-to-S converted phases in seismograms with various noise levels. In this context, the array-conditioned deconvolution presents a new, effective and automatic means for processing large amounts of array data, as it does not require any ad-hoc regularization; the regularization is achieved naturally by using the noise present in the array itself.
Subjects
Inversion
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