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Full waveform inversion based on hybrid gradient

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The low-wavenumber components in the gradient of full waveform inversion(FWI)play a vital role in the stability of the inversion.However,when FWI is implemented in some high frequencies and current models are not far away from the real velocity model,an excessive number of low-wavenumber com-ponents in the gradient will also reduce the convergence rate and inversion accuracy.To solve this problem,this paper firstly derives a formula of scattering angle weighted gradient in FWI,then proposes a hybrid gradient.The hybrid gradient combines the conventional gradient of FWI with the scattering angle weighted gradient in each inversion frequency band based on an empirical formula derived herein.Using weighted hybrid mode,we can retain some low-wavenumber components in the initial low-frequency inversion to ensure the stability of the inversion,and use more high-wavenumber compo-nents in the high-frequency inversion to improve the convergence rate.The results of synthetic data experiment demonstrate that compared to the conventional FWI,the FWI based on the proposed hybrid gradient can effectively reduce the low-wavenumber components in the gradient under the premise of ensuring inversion stability.It also greatly enhances the convergence rate and inversion accuracy,especially in the deep part of the model.And the field marine seismic data experiment also illustrates that the FWI based on hybrid gradient(HGFWI)has good stability and adaptability.

Full waveform inversionHybrid gradientScattering angle weightedLow-wavenumber component

Chuang Xie、Zhi-Liang Qin、Jian-Hua Wang、Peng Song、Heng-Guang Shen、Sheng-Qi Yu、Ben-Jun Ma、Xue-Qin Liu

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Qingdao Innovation and Development Base,Harbin Engineering University,Qingdao,266000,Shandong,China

Qingdao Innovation and Development Center,Harbin Engineering University,Qingdao,266000,Shandong,China

CNOOC Research Institute Co.,Ltd.,Beijing,100028,China

College of Marine Geoscience,Ocean University of China,Qingdao,266100,Shandong,China

Weihai Sunfull Geophysical Exploration Equipment Co.,Ltd.,Weihai,264209,Shandong,China

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Young Scientists Cultivation Fund Project of Harbin Engineering UniversityMount Taishan Industrial Leading Talent ProjectGreat and Special Project of CNOOC LimitedNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

79000013/003KJGG-2022-0104420060644210607042074138

2024

石油科学(英文版)
中国石油大学(北京)

石油科学(英文版)

EI
影响因子:0.88
ISSN:1672-5107
年,卷(期):2024.21(3)