Global Geology 2018, 21(1) 62-67 DOI:   10.3969/j.issn.1673-9736.2018.01.07  ISSN: 1673-9736 CN: 22-1371/P

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Keywords
multi-scale full waveform inversion
envelope inversion
objective function
low-frequency information
Authors
YIN Chang
SUN Jianguo
MIAO He
YAN Hongqun
PubMed
Article by Yin C
Article by Sun J
Article by Miao H
Article by Yan H

Full waveform inversion based on initial model built from envelope inversion

YIN Chang, SUN Jianguo, MIAO He, YAN Hongqun

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

Abstract��

Full waveform inversion is a fitting process based on full seismic wave field simulation data using the full waveform information in seismic records and theoretically it is the ultimate goal of seismic inversion. However, there are many problems to be solved in practical application. Firstly, it is the strong nonlinear problem between the seismic wave field and inversion parameters; secondly, the lack of low-frequency information in seismic records. In this study, the envelope is used as objective function inversion to provide the inversion result for the multi-scale full waveform inversion as the initial model, solving the lack of low-frequency information in seismic records. Taking the envelope of seismic records as the objective function in combination of multi-scale full waveform inversion became a new inversion strategy, which naturally achieved the compensation of shortage of low-frequency information and inversion from low frequency to high frequency, reducing the non-linearity in the inversion process. The comparison of the result of full waveform inversion of the initial model built through envelope inversion with the result of the conventional multi-scale full waveform inversion indicates the effectiveness of envelope inversion for the recovery of low-frequency information in seismic records.

Keywords�� multi-scale full waveform inversion   envelope inversion   objective function   low-frequency information  
Received 2017-09-01 Revised 2017-10-05 Online:  
DOI: 10.3969/j.issn.1673-9736.2018.01.07
Fund:Supported by Project of National Natural Science Foundation of China (No.41274120)
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