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A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint

Cai Ruiqian, Sun Chengyu, Yao Zhen'an and Li Shizhong
A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint
Geophysics (June 2024) 89 (3): R275-R286

Abstract

The seismic images produced by prestack depth migration indicate more accurate subsurface structures than time images, resulting in a growing need for depth-domain inversion. However, due to the strong nonstationarity exhibited by depth-domain seismic data, time-domain inversion methods based on the convolutional model cannot be directly applied in the depth domain. To address this issue, we develop a method for extracting a depth-variant seismic wavelet, which is then combined with a nonstationary convolutional model to enable direct inversion of the depth-domain acoustic impedance (AI). First, we extend the Morlet wavelet to the depth domain and develop an orthogonal matching pursuit spectral decomposition method using the depth-domain Morlet wavelet. We then investigate the waveforms and wavenumber spectra similarities between the depth-domain Morlet wavelet and depth-domain Ricker wavelet and extract depth-variant Ricker wavelets from the depth-wavenumber spectrum. We add a depth-domain impedance trend constraint to the conventional basis pursuit inversion to enhance the lateral continuity of the inversion results. Then, we attain direct inversion of the depth-domain AI. Tests of synthetic and field data demonstrate that our method achieves high-accuracy inversion results while maintaining high computational efficiency, highlighting our approach's effectiveness and strong reservoir characterization potential.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 89
Serial Issue: 3
Title: A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint
Affiliation: China University of Petroleum (East China), School of Geosciences, Qingdao, China
Pages: R275-R286
Published: 202406
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 44
Accession Number: 2024-032190
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sects.
N20°00'00" - N53°00'00", E74°00'00" - E135°00'00"
Secondary Affiliation: East China University of Technology, CHN, China
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2024, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 2024
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