Nonstationary seismic inversion: joint estimation for acoustic impedance, attenuation factor and source wavelet

Hao, Yaju; Wen, Xiaotao; Zhang, Hua; Zhu, Yunfeng; Deng, Chengxiang

doi:10.1007/s11600-021-00555-z

Artykuł - szczegóły

Tytuł artykułu

Nonstationary seismic inversion: joint estimation for acoustic impedance, attenuation factor and source wavelet

Autorzy

Hao Yaju , Wen Xiaotao , Zhang Hua , Zhu Yunfeng , Deng Chengxiang

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00555-z

Warianty tytułu

Języki publikacji

Abstrakty

Seismic signal can be expressed by nonstationary convolution model (NCM) which integrates acoustic impedance (AI), attenuation factor (AF) and source wavelet (SW) into a single formula. Although it provides attractive potential to invert AI, AF and SW, simultaneously, efective joint inversion algorithm has not been developed because of the extreme instability of this nonlinear inverse problem. In this paper, we propose an alternating optimization scheme to achieve this nonlinear joint inversion. Our algorithm repeatedly alternates among three subproblems corresponding to AI, AF and SW recovery until changes in inverted models become smaller than the user-defned tolerances. Also, when we optimize one parameter, other two parameters are fxed. NCM is an explicit linear formula for AI; therefore, AI recovery is accomplished by linear inver sion which is regularized by low-frequency model and isotropy total variation domain sparse constraints. However, NCM is a complicated nonlinear formula for AF. To facilitate the AF inversion, we propose a centroid frequency-based attenuation tomography method whose forward operator and observations are acquired from the time-varying wavelet amplitude spectra which is estimated according to Gabor domain factorization of NCM. SW is decoupled from NCM based on Toeplitz structure constraint, and we obtain an orthogonal wavelet transform domain sparse regularized SW inverse subproblem. Split Bregman technique is adopted to optimize AI and SW inverse subproblems. Numerical test and feld data application confrm that the proposed nonstationary seismic inversion algorithm can stably generate accurate estimates of AI, AF and SW, simultaneously.

Słowa kluczowe

acoustic impedance attenuation factor source wavelet alternating optimization monstationary inversion

impedancja akustyczna współczynnik tłumienia

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 2

Strony

459--481

Opis fizyczny

Bibliogr. 51 poz.

Twórcy

autor

Hao Yaju

haoyj_13@163.com

State Key Laboratory of Nuclear Resources and Environment, School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang 330013, China
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China

https://orcid.org/0000-0003-1680-1980

autor

Wen Xiaotao

State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China

autor

Zhang Hua

State Key Laboratory of Nuclear Resources and Environment, School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang 330013, China

autor

Zhu Yunfeng

State Key Laboratory of Nuclear Resources and Environment, School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang 330013, China

autor

Deng Chengxiang

State Key Laboratory of Nuclear Resources and Environment, School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang 330013, China

Bibliografia

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Typ dokumentu

Bibliografia

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