scholarly journals Azimuthal Anisotropy of the North American Upper Mantle Based on Full Waveform Inversion

Author(s):  
Hejun Zhu ◽  
Jidong Yang ◽  
Xueyan Li
2013 ◽  
Author(s):  
Chris Manuel ◽  
Dimitri Chagalov ◽  
Gary Hampson ◽  
Dimitri Bevc ◽  
Bee Jik Lim ◽  
...  

Geophysics ◽  
2020 ◽  
pp. 1-87
Author(s):  
Ju-Won Oh ◽  
Jiubing Cheng ◽  
Dong-Joo Min

Seismic full-waveform inversion (FWI) estimates the subsurface velocity structures by reducing data misfit between observed and modeled data. Simultaneous matching of transmitted and reflected waves in seismic FWI causes different updates of different wavenumber components of a given model depending on the diffraction angle between incident and diffracted rays. Motivated by the inverse scattering imaging condition and elastic full-waveform inversion, we propose applying a diffraction-angle filtering technique in acoustic FWI, which enables us to separate transmission and reflection energy in the partial derivative wavefields. The diffraction-angle filtering is applied to the virtual source, which is the model parameter perturbation acting as a source for the partial derivative wavefields. The diffraction-angle filtering consists of two diffraction-angle filters (DAF), DAF-I and DAF-II. DAF-I, which is derived from the particle acceleration of the incidence wavefields, suppresses energies at either small or large diffraction angles by simply changing the sign of the weighting factor. DAF-I is exactly identical to the conventional inverse scattering approach. DAF-II, which is derived from the artificial shear strain of the incident P-wave, additionally suppresses energies at intermediate diffraction angles. With this mechanism, we can design various types of diffraction-angle filtering to control the updates of wavenumber components of the misfit gradient with respect to the P-wave velocity. For the synthetic Marmousi-II data and real ocean-bottom seismic data from the North Sea, we demonstrate that the diffraction-angle filtering enables us to control low-, intermediate- and high-wavenumber components of the gradient direction.


Author(s):  
Shivaji Maitra ◽  
Fariza F. Basir ◽  
M. Luqman Ghazali ◽  
Ahmad Riza Ghazali ◽  
Sarmiza M. Sapiai ◽  
...  

Geophysics ◽  
2019 ◽  
Vol 84 (6) ◽  
pp. R897-R908 ◽  
Author(s):  
Zhen-dong Zhang ◽  
Tariq Alkhalifah

Full-waveform inversion (FWI) in its classic form is a method based on minimizing the [Formula: see text] norm of the difference between the observed and simulated seismic waveforms at the receiver locations. The objective is to find a subsurface model that reproduces the full waveform including the traveltimes and amplitudes of the observed seismic data. However, the widely used [Formula: see text]-norm-based FWI faces many issues in practice. The point-wise comparison of waveforms fails when the phase difference between the compared waveforms of the predicted and observed data is larger than a half-cycle. In addition, amplitude matching is impractical considering the simplified physics that we often use to describe the medium. To avoid these known problems, we have developed a novel elastic FWI algorithm using the local-similarity attribute. It compares two traces within a predefined local time extension; thus, is not limited by the half-cycle criterion. The algorithm strives to maximize the local similarities of the predicted and observed data by stretching/squeezing the observed data. Phases instead of amplitudes of the seismic data are used in the comparison. The algorithm compares two data sets locally; thus, it performs better than the global correlation in matching multiple arrivals. Instead of picking/calculating one stationary stretching/squeezing curve, we used a weighted integral to find all possible stationary curves. We also introduced a polynomial-type weighting function, which is determined only by the predefined maximum stretching/squeezing and is guaranteed to be smoothly varying within the extension range. Compared with the previously used Gaussian or linear weighting functions, our polynomial one has fewer parameters to play around with. A modified synthetic elastic Marmousi model and the North Sea field data are used to verify the effectiveness of the developed approach and also reveal some of its limitations.


Geophysics ◽  
2017 ◽  
Vol 82 (5) ◽  
pp. C163-C174 ◽  
Author(s):  
Nishant Kamath ◽  
Ilya Tsvankin ◽  
Esteban Díaz

One of the main challenges for full-waveform inversion (FWI) is taking into account both anisotropy and elasticity. Here, we perform elastic FWI for a synthetic 2D VTI (transversely isotropic with a vertical symmetry axis) model based on the geologic section at Valhall field in the North Sea. Multicomponent surface data are generated by a finite-difference code. We apply FWI in the time domain using a multiscale approach with three frequency bands. An approximate inverse Hessian matrix, computed using the L-BFGS-B algorithm, is employed to scale the gradients of the objective function and improve the convergence. In the absence of significant diving-wave energy in the deeper part of the section, the model is updated primarily with reflection data. An oblique displacement source, which excites sufficiently intensive shear waves in the conventional offset range, helps provide more accurate updates in the Shear-wave vertical velocity, especially in the shallow layers. We test three model parameterizations, which exhibit different radiation patterns and, therefore, create different parameter trade-offs. Whereas most examples are for a constant-density model, we also generate a density field using Gardner’s relationship and invert for the density along with the velocity parameters. The parameterizations that combine velocities and anisotropy coefficients generally yield superior results to the one that includes only velocities, provided that a reasonably accurate initial model is available.


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