Well-Guided Multisource Elastic Full-Waveform Inversion-Reference-Cited by-同舟云学术

Well-Guided Multisource Elastic Full-Waveform Inversion

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Qingqing¹^ORCID,Zhang Qingchen²^ORCID,Du Qizhen¹^ORCID,Cheng Shijun³

Affiliation:

1. School of Geosciences, China University of Petroleum (East China), Qingdao, China

2. State Key Laboratory of Geodesy and Earths Dynamics and the Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China

3. Division of Physical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09864648.pdf?arnumber=9864648

Reference57 articles.

1. Source-independent time-domain waveform inversion using convolved wavefields: Application to the encoded multisource waveform inversion

2. An efficient frequency-domain full waveform inversion method using simultaneous encoded sources

3. Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion

4. A review on reflection-waveform inversion

5. Enhancing Low-Wavenumber Information in Reflection Waveform Inversion by the Energy Norm Born Scattering

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