Learn low-wavenumber information in FWI via deep inception-based convolutional networks-Reference-Cited by-同舟云学术

Learn low-wavenumber information in FWI via deep inception-based convolutional networks

Published:2018-08-27 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2018
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Author:

Jin Yuchen¹,Hu Wenyi²,Wu Xuqing¹,Chen Jiefu¹

Affiliation:

1. University of Houston

2. Advanced Geophysical Technology Inc.

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2018-2997901.1

Reference11 articles.

1. Alkhalifah, T., 2014, Scattering-angle based filtering of the waveform inversion gradients: Geophysical Journal International, 200, 363–373, 10.1093/gji/ggu379.

2. Baek, H., H. Calandra, and L. Demanet, 2014, Velocity estimation via registration-guided least-squares inversion: Geophysics, 79, no. 2, R79–R89, 10.1190/geo2013-0146.1.

3. Hu, W., 2014, FWI without low frequency data-beat tone inversion: 84th Annual International Meeting, SEG, Expanded Abstracts, 10.1190/segam2014-0978.1.

4. Retrieving Low Wavenumber Information in FWI: An Overview of the Cycle-Skipping Phenomenon and Solutions

5. Li, Y., and L. Demanet, 2016, Full-waveform inversion with extrapolated low-frequency data: Geophysics, 81, no. 6, R339–R348, 10.1190/geo2016-0038.1.

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