ARTICLE

A slim approximate Hessian for perturbation velocity inversion with incomplete reflection data

BINGHONG HE GUOCHEN WU
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School of GeoSciences, China University of Petroleum (Huadong), Qingdao, Shandong 266555, P.R. China.,
JSE 2015, 24(3), 281–304;
Submitted: 9 June 2014 | Accepted: 8 May 2015 | Published: 1 July 2015
© 2015 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

He, B. and Wu, G., 2015. A slim approximate Hessian for perturbation velocity inversion with incomplete reflection data. Journal of Seismic Exploration, 24: 281-304. A recent velocity model building is the full waveform inversions (FWD that allow to recover the long-scale structures through the refraction waves and diving waves, and the short-scale structures which provide the high-resolution component through the reflection waves. However, incomplete seismic data include non-geological artifacts in the gradient for velocity update. The strong off-diagonal elements of approximate Hessians are important to reflection FWI with incomplete data; however, it is difficult to implement an approximate Hessian using the forward modeling method because of the cost of the computation efficiency. In this study, we investigate the ability of an approximate Hessian to remove artifacts that are caused by incomplete reflection data. In order to reduce the costs associated with calculating the Hessian, the large model is separated into sparse sub-models, and an alternative slim approximate Hessian is implemented sequentially on these sub-models. Afterwards, The complete model is obtained from sub-model using the radial point interpolation method (RPIM). A two-dimensional flat-layers synthetic example provides a reasonable test case for our method. We find that the slim approximate Hessian removes non-geophysical artifacts as effectively as the approximate Hessian, but has the advantages of greater cost-efficiency and lower memory requirements.

Keywords
full waveform inversion
slim approximate Hessian
reflection
incomplete data
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing