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Volume 66 Number 1
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Acoustic impedance is one of the best attributes for seismic interpretation and reservoir characterisation. We present an approach for estimating acoustic impedance accurately from a band‐limited and noisy seismic data. The approach is composed of two stages: inverting for reflectivity from seismic data and then estimating impedance from the reflectivity inverted in the first stage. For the first stage, we achieve a two‐step spectral inversion that locates the positions of reflection coefficients in the first step and determines the amplitudes of the reflection coefficients in the second step under the constraints of the positions located in the first step. For the second stage, we construct an iterative impedance estimation algorithm based on reflectivity. In each iteration, the iterative impedance estimation algorithm estimates the absolute acoustic impedance based on an initial acoustic impedance model that is given by summing the high‐frequency component of acoustic impedance estimated at the last iteration and a low‐frequency component determined in advance using other data. The known low‐frequency component is used to restrict the acoustic impedance variation tendency in each iteration. Examples using one‐ and two‐dimensional synthetic and field seismic data show that the approach is flexible and superior to the conventional spectral inversion and recursive inversion methods for generating more accurate acoustic impedance models.

© 2018 European Association of Geoscientists & Engineers © 2017 European Association of Geoscientists & Engineers
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/content/journals/10.1111/1365-2478.12538
2017-06-13
2024-04-20

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Accurate estimation of acoustic impedance based on spectral inversion
Geophysical Prospecting 66, 169 (2018); https://doi.org/10.1111/1365-2478.12538
/content/journals/10.1111/1365-2478.12538
/content/journals/10.1111/1365-2478.12538
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  • Article Type: Research Article
Keyword(s): Acoustic impedance; Reflection coefficients; Seismic data; Spectral inversion

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