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Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks

Wang Hang, Liu Xingye and Chen Yangkang
Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks
Geophysics (November 2020) 85 (6): V497-V506

Abstract

Seismic diffractions are weak seismic events hidden within the more dominant reflection events in a seismic profile. Separating diffraction energy from the poststack seismic profiles can help infer the subsurface discontinuities that generate the diffraction events. The separated seismic diffractions can be migrated with a traditional seismic imaging method or a specifically designed migration method to highlight the diffractors, that is, the diffraction image. Traditional diffraction separation methods based on the underlying plane-wave assumption are limited by either the inaccurate slope estimation or the plane-wave assumption of the plane-wave destruction filter and thus will cause reflection leakage into the separated diffraction profile. The leaked reflection energy will deteriorate the resolution of the subsequent diffraction imaging result. We have adopted a new diffraction separation method based on a localized rank-reduction (LRR) method. The LRR method assumes the reflection events to be locally low-rank and the diffraction energy can be separated by a rank-reduction operation. Compared to the global rank-reduction method, the LRR method is more constrained in selecting the rank and is free of separation artifacts. We use a carefully designed synthetic example to demonstrate that the LRR method can help separate the diffraction energy from a poststack seismic profile with kinematically and dynamically accurate performance.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 85
Serial Issue: 6
Title: Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks
Affiliation: Zhejiang University, School of Earth Sciences, Hangzhou, China
Pages: V497-V506
Published: 20201123
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 42
Accession Number: 2021-003313
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: Xi'an University of Science and Technology, CHN, China
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, 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: 2021
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