Volume 28, Issue 1
Source-Independent Amplitude-Semblance Full-Waveform Inversion Using a Hybrid Time- and Frequency-Domain Approach

Benxin Chi & Lianjie Huang

Commun. Comput. Phys., 28 (2020), pp. 328-341.

Published online: 2020-05

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  • Abstract

Full-waveform inversion is a promising tool to produce accurate and high-resolution 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 shots 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 frequency-domain 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 time- and frequency-domain approach compared to the conventional full-waveform inversion in the time domain.

  • Keywords

Amplitude semblance, full-waveform inversion, hybrid time and frequency domain, source independent, source wavelet.

  • AMS Subject Headings

86A15, 86A22

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

benxin.chi@gmail.com (Benxin Chi)

ljh@lanl.gov (Lianjie Huang)

  • BibTex
  • RIS
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@Article{CiCP-28-328, author = {Chi , Benxin and Huang , Lianjie }, title = {Source-Independent Amplitude-Semblance Full-Waveform Inversion Using a Hybrid Time- and Frequency-Domain Approach}, journal = {Communications in Computational Physics}, year = {2020}, volume = {28}, number = {1}, pages = {328--341}, abstract = {

Full-waveform inversion is a promising tool to produce accurate and high-resolution 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 shots 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 frequency-domain 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 time- and frequency-domain approach compared to the conventional full-waveform inversion in the time domain.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2018-0199}, url = {http://global-sci.org/intro/article_detail/cicp/16839.html} }
TY - JOUR T1 - Source-Independent Amplitude-Semblance Full-Waveform Inversion Using a Hybrid Time- and Frequency-Domain Approach AU - Chi , Benxin AU - Huang , Lianjie JO - Communications in Computational Physics VL - 1 SP - 328 EP - 341 PY - 2020 DA - 2020/05 SN - 28 DO - http://doi.org/10.4208/cicp.OA-2018-0199 UR - https://global-sci.org/intro/article_detail/cicp/16839.html KW - Amplitude semblance, full-waveform inversion, hybrid time and frequency domain, source independent, source wavelet. AB -

Full-waveform inversion is a promising tool to produce accurate and high-resolution 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 shots 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 frequency-domain 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 time- and frequency-domain approach compared to the conventional full-waveform inversion in the time domain.

Benxin Chi & Lianjie Huang. (2020). Source-Independent Amplitude-Semblance Full-Waveform Inversion Using a Hybrid Time- and Frequency-Domain Approach. Communications in Computational Physics. 28 (1). 328-341. doi:10.4208/cicp.OA-2018-0199
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