Published December 2018 | Version v1
Journal article

Velocity and Density Reconstruction Based on Scattering Angle Separation

  • 1. Xi'an University of Technology, School of Automation and Information Engineering (China)
  • 2. University of California, Institute of Geophysics and Planetary Physics (United States)

Description

The density of the medium under investigation is important for seismic interpretation and rock property analysis. However accurate estimation of density is difficult, because seismic responses to density and velocity are coupled, and there exits a trade-off problem. By analyzing the properties of their radiation patterns, we propose a scattering angle-based inversion strategy for simultaneous estimation of density and velocity. Both the source-side and receiver-side wavefields are decomposed into local angle domain, and then local scattering angles are calculated. Small scattering angles correspond to forward scattering, which are caused by velocity perturbation, so small scattering angles are used only for velocity estimation. Density perturbation is only responsible for backward scattering, which are related to large scattering angles. Therefore by filtering out small scattering angles during density inversion, the crosstalk between velocity and density is greatly reduced. Numerical examples prove that the scattering angle-based inversion method provides much improved density inversion results. Furthermore, the multi-stage strategy also helps velocity to overcome the cycle skipping problem in highly nonlinear full waveform inversion.

Additional details

Identifiers

Publishing Information

Journal Title
Pure and Applied Geophysics (Print)
Journal Volume
175
Journal Issue
12
Journal Page Range
p. 4371-4387
ISSN
0033-4553
CODEN
PAGYAV

INIS

Country of Publication
Switzerland
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51107805
Subject category
S58: GEOSCIENCES;
Descriptors DEI
NONLINEAR PROBLEMS; ROCKS; SCATTERING; VELOCITY; WAVE FORMS

Optional Information

Copyright
Copyright (c) 2018 Springer International Publishing AG, part of Springer Nature