Ground roll and mud roll in seismic reflection data can be analysed to infer a near surface S-wave velocity model from which converted-wave static correction can be computed. A workflow that exploits processing tools available in industrial processing codes has been implemented to extract dispersion curves and related uncertainties along a seismic line. The dispersion curves are then inverted with a laterally constrained inversion algorithm based on an initial model previously determined through a Monte Carlo inversion. The final S-wave velocity models are finally used for static computation. The application of the method to synthetic data supplied static correction values with error lower than 5%.

Surface wave analysis for S-wave static correction computation / Socco, Laura; Boiero, Daniele; Foti, Sebastiano; Maraschini, Margherita; Piatti, Claudio; Bergamo, Paolo; Garofalo, Flora; Pastori, M.; Del Molino, G.. - ELETTRONICO. - 29:(2010), pp. 1929-1932. ((Intervento presentato al convegno SEG Annual Meeting tenutosi a Denver (USA) nel Ottobre 2010.

Surface wave analysis for S-wave static correction computation

SOCCO, LAURA;BOIERO, DANIELE;FOTI, Sebastiano;MARASCHINI, MARGHERITA;PIATTI, CLAUDIO;BERGAMO, PAOLO;GAROFALO, FLORA;
2010

Abstract

Ground roll and mud roll in seismic reflection data can be analysed to infer a near surface S-wave velocity model from which converted-wave static correction can be computed. A workflow that exploits processing tools available in industrial processing codes has been implemented to extract dispersion curves and related uncertainties along a seismic line. The dispersion curves are then inverted with a laterally constrained inversion algorithm based on an initial model previously determined through a Monte Carlo inversion. The final S-wave velocity models are finally used for static computation. The application of the method to synthetic data supplied static correction values with error lower than 5%.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2488867
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