Adaptive individual weight-gain AVO inversion with smooth nonconvex regularization

• Autorzy: Du Siyuan , Zhang Jiashu , Zhang Sheng , Hu Guangmin

Identyfikatory

DOI

10.1007/s11600-021-00574-w

• Języki publikacji: EN

Abstrakty

EN

Amplitude variation with ofset (AVO) inversion is a widely used approach to obtain reliable estimates of elastic parameter in the felds of seismic exploration. However, the AVO inversion is an ill-posed problem because of the band-limited characteristic of seismic data. The regularization constraint plays an important role in improving inversion resolution. Total variation (TV) class regularization based on L1 norm has been introduced in seismic inversion. But, these methods may underestimate the high-amplitude components and obtain low-resolution results. To tackle these issues, we propose to combine a smooth nonconvex regularization approach with adaptive individual weight-gain. Compared with the L1 norm regularizers, the proposed smoothed nonconvex sparsity-inducing regularizers can lead to more accurate estimation for high-amplitude components. Diferent from previous regularization methods, the proposed approach also assigns diferent weight regularization parameters for diferent strata, which we call adaptive individual weight-gain strategy. To ensure sufcient minimization of the constructed objective function, a spectral Polak–Ribière–Polyak conjugate gradient method with line search step size is used. Further, we prove that the proposed algorithm converges to a stationary point. The synthetic data tests illustrate that our approach has improved performance compared with the conventional TV class regularization methods. Field data example further verifes the higher resolution of the proposed approach.

Słowa kluczowe

EN

AVO inversion; convergence; adaptive individual weight-gain; smooth nonconvex regularization; spectral PRP conjugate gradient

PL

Inwersja AVO; konwergencja

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2021
• Tom: Vol. 69, no. 4
• Strony: 1199--1213
• Opis fizyczny: Bibliogr. 48 poz.

Twórcy

autor

Du Siyuan

• Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031, China

• https://orcid.org/0000-0002-7134-2468

autor

Zhang Jiashu

• Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031, China

autor

Zhang Sheng

• Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu 610031, China

autor

Hu Guangmin

• School of Resources and Environments, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China

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