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Computing near-surface velocity models for S-wave static corrections using raypath interferometry

Raul Cova, David Henley and Kristopher A. Innanen
Computing near-surface velocity models for S-wave static corrections using raypath interferometry
Geophysics (June 2018) 83 (3): U23-U34

Abstract

A near-surface velocity model is one of the typical products generated when computing static corrections, particularly in the processing of PP data. Critically refracted waves are the input usually needed for this process. In addition, for the converted PS mode, S-wave near-surface corrections must be applied at the receiver locations. In this case, however, critically refracted S-waves are difficult to identify when using P-wave energy sources. We use the tau -p representation of the converted-wave data to capture the intercept-time differences between receiver locations. These tau -differences are then used in the inversion of a near-surface S-wave velocity model. Our processing workflow provides not only a set of raypath-dependent S-wave static corrections, but also a velocity model that is based on those corrections. Our computed near-surface S-wave velocity model can be used for building migration velocity models or to initialize elastic full-waveform inversions. Our tests on synthetic and field data provided superior results to those obtained by using a surface-consistent solution.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 83
Serial Issue: 3
Title: Computing near-surface velocity models for S-wave static corrections using raypath interferometry
Affiliation: University of Calgary, Department of Geoscience, Calgary, AB, Canada
Pages: U23-U34
Published: 201806
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 31
Accession Number: 2018-090948
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Includes appendices
Illustration Description: illus.
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2019, American Geosciences Institute.
Update Code: 201849
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