A Regularization Workflow for the Processing of Cross-spread COV Data

G. Poole; P. Herrmann; E. Angerer; S. Perrier

doi:10.3997/2214-4609.201400160

A Regularization Workflow for the Processing of Cross-spread COV Data
By G. Poole, P. Herrmann, E. Angerer and S. Perrier
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, Jun 2009, cp-127-00153
ISBN: 978-90-73781-67-2
DOI: https://doi.org/10.3997/2214-4609.201400160

Abstract

Data regularization is critical for the suppression of Kirchhoff migration noise and the production of a clean migration image. We introduce a workflow utilizing Fourier reconstruction in two spatial dimensions to fully regularize cross-spread COV data i

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2009-06-08

2024-04-25

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A Regularization Workflow for the Processing of Cross-spread COV Data

Abstract

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Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture