An improved procedure of least-squares inversion and its application in VSP record

The spectrum of a discrete Fourier transform (DFT) is estimated by generalized linear inversion, and used to produce desirable seismic traces with regular spatial sampling from an irregularly sampled data set. The essence of such an approach is to solve the DFT inverse problem with a particular cons...

Full description

Saved in:
Bibliographic Details
Published in2011 International Conference on Computer Science and Service System (CSSS) pp. 189 - 192
Main Author Baotong Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
anti-leakage
data reconstruction
discrete Fourier transform (DFT)
Discrete Fourier transforms
Equations
Estimation
Geophysical measurements
Image reconstruction
Inverse problems
least-squares inversion
spectra estimation
vertical seismic profiling (VSP)
Online AccessGet full text

Cover

More Information
Summary:The spectrum of a discrete Fourier transform (DFT) is estimated by generalized linear inversion, and used to produce desirable seismic traces with regular spatial sampling from an irregularly sampled data set. The essence of such an approach is to solve the DFT inverse problem with a particular constraint. This paper introduces a diagonal constrained matrix that is real and positive definition, so as to improve the resolution of model space. Application to both synthetic and real seismic data reveals the effectiveness of the technique.
ISBN:9781424497621
1424497620
DOI:10.1109/CSSS.2011.5972106