3D variable-grid full-waveform inversion on GPU

Abstract Full-waveform inversion (FWI) is a powerful tool to reconstruct subsurface geophysical parameters with high resolution. As 3D surveys become widely implemented, corresponding 3D processing techniques are required to solve complex geological cases, while a large amount of computation is the...

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Autores principales:	Zi-Ying Wang, Jian-Ping Huang, Ding-Jin Liu, Zhen-Chun Li, Peng Yong, Zhen-Jie Yang
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2019
Materias:	3D full-waveform inversion Adaptive variable grid Finite-difference modeling Science Q Petrology QE420-499
Acceso en línea:	https://doaj.org/article/6fc658e4b19e4ab69ba9b88c0e0d1b1f
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id	oai:doaj.org-article:6fc658e4b19e4ab69ba9b88c0e0d1b1f
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spelling	oai:doaj.org-article:6fc658e4b19e4ab69ba9b88c0e0d1b1f2021-12-02T10:04:12Z3D variable-grid full-waveform inversion on GPU10.1007/s12182-019-00368-21672-51071995-8226https://doaj.org/article/6fc658e4b19e4ab69ba9b88c0e0d1b1f2019-10-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-019-00368-2https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract Full-waveform inversion (FWI) is a powerful tool to reconstruct subsurface geophysical parameters with high resolution. As 3D surveys become widely implemented, corresponding 3D processing techniques are required to solve complex geological cases, while a large amount of computation is the most challenging problem. We propose an adaptive variable-grid 3D FWI on graphics processing unit devices to improve computational efficiency without losing accuracy. The irregular-grid discretization strategy is based on a dispersion relation, and the grid size adapts to depth, velocity, and frequency automatically. According to the transformed grid coordinates, we derive a modified acoustic wave equation and apply it to full wavefield simulation. The 3D variable-grid modeling is conducted on several 3D models to validate its feasibility, accuracy and efficiency. Then we apply the proposed modeling method to full-waveform inversion for source and residual wavefield propagation. It is demonstrated that the adaptive variable-grid FWI is capable of decreasing computing time and memory requirements. From the inversion results of the 3D SEG/EAGE overthrust model, our method retains inversion accuracy when recovering both thrust and channels.Zi-Ying WangJian-Ping HuangDing-Jin LiuZhen-Chun LiPeng YongZhen-Jie YangKeAi Communications Co., Ltd.article3D full-waveform inversionAdaptive variable gridFinite-difference modelingScienceQPetrologyQE420-499ENPetroleum Science, Vol 16, Iss 5, Pp 1001-1014 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	3D full-waveform inversion Adaptive variable grid Finite-difference modeling Science Q Petrology QE420-499
spellingShingle	3D full-waveform inversion Adaptive variable grid Finite-difference modeling Science Q Petrology QE420-499 Zi-Ying Wang Jian-Ping Huang Ding-Jin Liu Zhen-Chun Li Peng Yong Zhen-Jie Yang 3D variable-grid full-waveform inversion on GPU
description	Abstract Full-waveform inversion (FWI) is a powerful tool to reconstruct subsurface geophysical parameters with high resolution. As 3D surveys become widely implemented, corresponding 3D processing techniques are required to solve complex geological cases, while a large amount of computation is the most challenging problem. We propose an adaptive variable-grid 3D FWI on graphics processing unit devices to improve computational efficiency without losing accuracy. The irregular-grid discretization strategy is based on a dispersion relation, and the grid size adapts to depth, velocity, and frequency automatically. According to the transformed grid coordinates, we derive a modified acoustic wave equation and apply it to full wavefield simulation. The 3D variable-grid modeling is conducted on several 3D models to validate its feasibility, accuracy and efficiency. Then we apply the proposed modeling method to full-waveform inversion for source and residual wavefield propagation. It is demonstrated that the adaptive variable-grid FWI is capable of decreasing computing time and memory requirements. From the inversion results of the 3D SEG/EAGE overthrust model, our method retains inversion accuracy when recovering both thrust and channels.
format	article
author	Zi-Ying Wang Jian-Ping Huang Ding-Jin Liu Zhen-Chun Li Peng Yong Zhen-Jie Yang
author_facet	Zi-Ying Wang Jian-Ping Huang Ding-Jin Liu Zhen-Chun Li Peng Yong Zhen-Jie Yang
author_sort	Zi-Ying Wang
title	3D variable-grid full-waveform inversion on GPU
title_short	3D variable-grid full-waveform inversion on GPU
title_full	3D variable-grid full-waveform inversion on GPU
title_fullStr	3D variable-grid full-waveform inversion on GPU
title_full_unstemmed	3D variable-grid full-waveform inversion on GPU
title_sort	3d variable-grid full-waveform inversion on gpu
publisher	KeAi Communications Co., Ltd.
publishDate	2019
url	https://doaj.org/article/6fc658e4b19e4ab69ba9b88c0e0d1b1f
work_keys_str_mv	AT ziyingwang 3dvariablegridfullwaveforminversionongpu AT jianpinghuang 3dvariablegridfullwaveforminversionongpu AT dingjinliu 3dvariablegridfullwaveforminversionongpu AT zhenchunli 3dvariablegridfullwaveforminversionongpu AT pengyong 3dvariablegridfullwaveforminversionongpu AT zhenjieyang 3dvariablegridfullwaveforminversionongpu
_version_	1718397694436704256

3D variable-grid full-waveform inversion on GPU

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