Source-independent elastic waveform inversion using a logarithmic wavefield

Choi, Yun Seok; Min, Dong Joon

doi:10.1016/j.jappgeo.2011.10.013

Cited by 15 publications

(4 citation statements)

References 22 publications

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“…Finally, the logarithmic SI misfit function (Choi and Min, 2012) can be viewed as a natural generalization of SRM:…”

Section: Source-independent Full Waveform Inversionmentioning

confidence: 99%

“…For attenuation tomography, Plessix (2006) used a misfit function based on the centroid frequency shift method (Quan and Harris, 1997), which requires a source wavelet. In contrast, SIFWI algorithms (Choi and Alkhalifah, 2011;Choi and Min, 2012) completely eliminate the source spectrum during the inversion process. These algorithms are driven by convolution-or deconvolution-based misfit functions using reference synthetic and observed data.…”

Section: Introductionmentioning

confidence: 99%

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Methods for source-independent Q estimation from microseismic and crosswell perforation shot data in a layered, isotropic viscoelastic medium

Shigapov

Kashtan

Droujinine

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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SUMMARYWe consider the problem of anelastic full waveform inversion in a multi-layered, isotropic viscoelastic medium from microseismic and cross-hole perforation shots. Usually, the source wavelet is not well known, so we focus on Q estimation techniques that can handle this problem. We revisit the spectral ratio method (SRM) and discuss its domain of applicability. We conclude that SRM can be used for interval Q estimation if the sources and receivers are contained in the same homogeneous layer. To overcome the restrictions of SRM, we consider the more sophisticated source-independent full waveform inversion (SIFWI). We compare three different source-independent misfit functions on synthetic data and show that they can be used for Q estimation in a viscoelastic medium. We use 3-D complex ray theory to implement SIFWI in a layered viscoelastic medium.

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“…Finally, the logarithmic SI misfit function (Choi and Min, 2012) can be viewed as a natural generalization of SRM:…”

Section: Source-independent Full Waveform Inversionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Methods for source-independent Q estimation from microseismic and crosswell perforation shot data in a layered, isotropic viscoelastic medium

Shigapov

Kashtan

Droujinine

et al. 2013

SEG Technical Program Expanded Abstracts 2013

View full text Add to dashboard Cite

show abstract

“…During the inversion process, the source wavelet needs to be updated simultaneously with the velocity. To overcome the impact of source inaccuracy on inversion, source-independent inversion strategies were first proposed in frequency-domain FWI, including convolution-based inversion methods [29,30] and deconvolution-based inversion methods [31][32][33][34]. In the time domain, source-independent inversion methods are usually constructed based on convolved wavefields [35].…”

Section: Introductionmentioning

confidence: 99%

Robust Elastic Full-Waveform Inversion Based on Normalized Cross-Correlation Source Wavelet Inversion

Qi,

Huang,

Zhang

et al. 2023

Applied Sciences

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The elastic full-waveform inversion (EFWI) method efficiently utilizes the amplitude, phase, and travel time information present in multi-component seismic recordings to create detailed parameter models of subsurface structures. Within full-waveform inversion (FWI), accurate source wavelet estimation significantly impacts both the convergence and final result quality. The source wavelet, serving as the initial condition for the wave equation’s forward modeling algorithm, directly influences the matching degree between observed and synthetic data. This study introduces a novel method for estimating the source wavelet utilizing cross-correlation norm elastic waveform inversion (CNEWI) and outlines the EFWI algorithm flow based on this CNEWI source wavelet inversion. The CNEWI method estimates the source wavelet by employing normalized cross-correlation processing on near-offset direct waves, thereby reducing the susceptibility to strong amplitude interference such as bad traces and surface wave residuals. The proposed CNEWI method exhibits a superior computational efficiency compared to conventional L2-norm waveform inversion for source wavelet estimation. Numerical experiments, including in ideal scenarios, with seismic data with bad traces, and with multi-component data, validate the advantages of the proposed method in both source wavelet estimation and EFWI compared to the traditional inversion method.

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“…To alleviate the source wavelet effect on FWI, some source-independent FWI algorithms were developed [2,4,5,8,[25][26][27]. In these methods, they used data convolved with or deconvolved by an optimized reference trace to construct a misfit function, and the influence of an inaccurate source wavelet on FWI can be partially suppressed.…”

Section: Introductionmentioning

confidence: 99%

Source-Independent Amplitude-Semblance Full-Waveform Inversion Using a Hybrid Time- and Frequency-Domain Approach

sci¹

2020

CICP

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Full-waveform inversion is a promising tool to produce accurate and highresolution subsurface models. Conventional full-waveform inversion requires an accurate estimation of the source wavelet, and its computational cost is high. We develop a novel source-independent full-waveform inversion method using a hybrid time-and frequency-domain scheme to avoid the requirement of source wavelet estimation and to reduce the computational cost. We employ an amplitude-semblance objective function to not only effectively remove the source wavelet effect on full-waveform inversion, but also to eliminate the impact of the inconsistency of source wavelets among different shot gathers on full-waveform inversion. To reduce the high computational cost of full-waveform inversion in the time domain, we implement our new algorithm using a hybrid time-and frequency-domain approach. The forward and backward wave propagation operations are conducted in the time domain, while the frequencydomain wavefields are obtained during modeling using the discrete-time Fourier transform. The inversion process is conducted in the frequency domain for selected frequencies. We verify our method using synthetic seismic data for the Marmousi model. The results demonstrate that our novel source-independent full-waveform inversion produces accurate velocity models even if the source signature is incorrect. In addition, our method can significantly reduce the computational time using the hybrid timeand frequency-domain approach compared to the conventional full-waveform inversion in the time domain.

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Source-independent elastic waveform inversion using a logarithmic wavefield

Cited by 15 publications

References 22 publications

Methods for source-independent Q estimation from microseismic and crosswell perforation shot data in a layered, isotropic viscoelastic medium

Methods for source-independent Q estimation from microseismic and crosswell perforation shot data in a layered, isotropic viscoelastic medium

Robust Elastic Full-Waveform Inversion Based on Normalized Cross-Correlation Source Wavelet Inversion

Source-Independent Amplitude-Semblance Full-Waveform Inversion Using a Hybrid Time- and Frequency-Domain Approach

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