Application of seismic interferometry by multidimensional deconvolution to crosswell seismic reflection using singular-value decomposition

S. Minato, T. Matsuoka, T. Tsuji, D. Draganov, Jürg Hunziker, K. Wapenaar

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Summary: Seismic interferometry is a process of generating new seismic data from existing wavefields. This enables us to expand the degree of freedom of source-receiver configuration. Seismic interferometry by multidimensional deconvolution (MDD) is proposed as an alternative to the conventional crosscorrelation method (Wapenaar et al., 2008a; Wapenaar et al., 2008b). We apply MDD to crosswell geometry in order to retrieve crosswell impulse responses from surface sources using numerical modeling and field data. We adopted singular-value decomposition (SVD) for obtaining the pseudoinverse solution to achieve MDD. Since the SVD pseudoinverse is highly dependent on the rank of the MDD matrix, Akaike's information criterion (AIC) is adopted in order to determine the rank of the MDD matrix. We see that the MDD produces higherresolution data compared with the conventional crosscorrelation method. Furthermore, amplitudes of downgoing reflection events are improved in MDD while downgoing reflection events are not recognizable in the crosscorrelation method.

Original languageEnglish
Pages (from-to)1688-1692
Number of pages5
JournalSEG Technical Program Expanded Abstracts
Volume28
Issue number1
Publication statusPublished - Dec 1 2009
Externally publishedYes

Fingerprint

Deconvolution
deconvolution
Singular value decomposition
interferometry
Interferometry
seismic reflection
decomposition
matrices
impulses
receivers
degrees of freedom
geometry
configurations
matrix
Akaike information criterion
Impulse response
seismic data
Geometry
modeling
method

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics

Cite this

Application of seismic interferometry by multidimensional deconvolution to crosswell seismic reflection using singular-value decomposition. / Minato, S.; Matsuoka, T.; Tsuji, T.; Draganov, D.; Hunziker, Jürg; Wapenaar, K.

In: SEG Technical Program Expanded Abstracts, Vol. 28, No. 1, 01.12.2009, p. 1688-1692.

Research output: Contribution to journalArticle

@article{ba77023f02264268b7eba80fe034e541,
title = "Application of seismic interferometry by multidimensional deconvolution to crosswell seismic reflection using singular-value decomposition",
abstract = "Summary: Seismic interferometry is a process of generating new seismic data from existing wavefields. This enables us to expand the degree of freedom of source-receiver configuration. Seismic interferometry by multidimensional deconvolution (MDD) is proposed as an alternative to the conventional crosscorrelation method (Wapenaar et al., 2008a; Wapenaar et al., 2008b). We apply MDD to crosswell geometry in order to retrieve crosswell impulse responses from surface sources using numerical modeling and field data. We adopted singular-value decomposition (SVD) for obtaining the pseudoinverse solution to achieve MDD. Since the SVD pseudoinverse is highly dependent on the rank of the MDD matrix, Akaike's information criterion (AIC) is adopted in order to determine the rank of the MDD matrix. We see that the MDD produces higherresolution data compared with the conventional crosscorrelation method. Furthermore, amplitudes of downgoing reflection events are improved in MDD while downgoing reflection events are not recognizable in the crosscorrelation method.",
author = "S. Minato and T. Matsuoka and T. Tsuji and D. Draganov and J{\"u}rg Hunziker and K. Wapenaar",
year = "2009",
month = "12",
day = "1",
language = "English",
volume = "28",
pages = "1688--1692",
journal = "SEG Technical Program Expanded Abstracts",
issn = "1052-3812",
publisher = "Society of Exploration Geophysicists",
number = "1",

}

TY - JOUR

T1 - Application of seismic interferometry by multidimensional deconvolution to crosswell seismic reflection using singular-value decomposition

AU - Minato, S.

AU - Matsuoka, T.

AU - Tsuji, T.

AU - Draganov, D.

AU - Hunziker, Jürg

AU - Wapenaar, K.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Summary: Seismic interferometry is a process of generating new seismic data from existing wavefields. This enables us to expand the degree of freedom of source-receiver configuration. Seismic interferometry by multidimensional deconvolution (MDD) is proposed as an alternative to the conventional crosscorrelation method (Wapenaar et al., 2008a; Wapenaar et al., 2008b). We apply MDD to crosswell geometry in order to retrieve crosswell impulse responses from surface sources using numerical modeling and field data. We adopted singular-value decomposition (SVD) for obtaining the pseudoinverse solution to achieve MDD. Since the SVD pseudoinverse is highly dependent on the rank of the MDD matrix, Akaike's information criterion (AIC) is adopted in order to determine the rank of the MDD matrix. We see that the MDD produces higherresolution data compared with the conventional crosscorrelation method. Furthermore, amplitudes of downgoing reflection events are improved in MDD while downgoing reflection events are not recognizable in the crosscorrelation method.

AB - Summary: Seismic interferometry is a process of generating new seismic data from existing wavefields. This enables us to expand the degree of freedom of source-receiver configuration. Seismic interferometry by multidimensional deconvolution (MDD) is proposed as an alternative to the conventional crosscorrelation method (Wapenaar et al., 2008a; Wapenaar et al., 2008b). We apply MDD to crosswell geometry in order to retrieve crosswell impulse responses from surface sources using numerical modeling and field data. We adopted singular-value decomposition (SVD) for obtaining the pseudoinverse solution to achieve MDD. Since the SVD pseudoinverse is highly dependent on the rank of the MDD matrix, Akaike's information criterion (AIC) is adopted in order to determine the rank of the MDD matrix. We see that the MDD produces higherresolution data compared with the conventional crosscorrelation method. Furthermore, amplitudes of downgoing reflection events are improved in MDD while downgoing reflection events are not recognizable in the crosscorrelation method.

UR - http://www.scopus.com/inward/record.url?scp=84883012815&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883012815&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84883012815

VL - 28

SP - 1688

EP - 1692

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

SN - 1052-3812

IS - 1

ER -