Time-domain full waveform inversion using the gradient preconditioning based on transmitted waves energy

Xiao-bo Zhang, Jun Tan, Peng Song, Jin-shan Li, Dong-ming Xia, Zhaolun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The gradient preconditioning approach based on seismic wave energy can effectively avoid the huge storage consumption in the gradient preconditioning algorithms based on Hessian matrices in time-domain full waveform inversion (FWI), but the accuracy is affected by the energy of reflected waves when strong reflectors are present in velocity model. To address this problem, we propose a gradient preconditioning method, which scales the gradient based on the energy of the “approximated transmitted wavefield” simulated by the nonreflecting acoustic wave equation. The method does not require computing or storing the Hessian matrix or its inverse. Furthermore, it can effectively eliminate the effects caused by geometric diffusion and non-uniformity illumination on gradient. The results of model experiments confirm that the time-domain FWI using the gradient preconditioning based on transmitted waves energy can achieve higher inversion precision for high-velocity body and the deep strata below when compared with using the gradient preconditioning based on seismic waves energy.
Original languageEnglish (US)
Title of host publicationInternational Geophysical Conference, Qingdao, China, 17-20 April 2017
PublisherSociety of Exploration Geophysicists
DOIs
StatePublished - May 31 2017

Fingerprint Dive into the research topics of 'Time-domain full waveform inversion using the gradient preconditioning based on transmitted waves energy'. Together they form a unique fingerprint.

Cite this