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Elastic Envelope Inversion Using Multicomponent Seismic Data Without Low Frequency : Volume 1, Issue 2 (05/12/2014)

By Huang, C.

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Book Id: WPLBN0004020082
Format Type: PDF Article :
File Size: Pages 46
Reproduction Date: 2015

Title: Elastic Envelope Inversion Using Multicomponent Seismic Data Without Low Frequency : Volume 1, Issue 2 (05/12/2014)  
Author: Huang, C.
Volume: Vol. 1, Issue 2
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Chi, B., Liu, Y., Dong, L., & Huang, C. (2014). Elastic Envelope Inversion Using Multicomponent Seismic Data Without Low Frequency : Volume 1, Issue 2 (05/12/2014). Retrieved from http://hawaiilibrary.net/


Description
Description: State Key Laboratory of Marine Geology, Tongji University, Shanghai 20092, China. Low frequency is a key issue to reduce the nonlinearity of elastic full waveform inversion. Hence, the lack of low frequency in recorded seismic data is one of the most challenging problems in elastic full waveform inversion. Theoretical derivations and numerical analysis are presented in this paper to show that envelope operator can retrieve strong low frequency modulation signal demodulated in multicomponent data, no matter what the frequency bands of the data is. With the benefit of such low frequency information, we use elastic envelope of multicomponent data to construct the objective function and present an elastic envelope inversion method to recover the long-wavelength components of the subsurface model, especially for the S-wave velocity model. Numerical tests using synthetic data for the Marmousi-II model prove the effectiveness of the proposed elastic envelope inversion method, especially when low frequency is missing in multicomponent data and when initial model is far from the true model. The elastic envelope can reduce the nonlinearity of inversion and can provide an excellent starting model.

Summary
Elastic envelope inversion using multicomponent seismic data without low frequency

Excerpt
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