Estimation of shear wave velocity profiles by the inversion of spatial autocorrelation coefficients

K. Firtana*, A. Kocaoglu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Microtremors are measured and analized by spatial autocorrelation method for determination of shear-wave velocity (Vs) models. In spatial autocorelation method,estimating Vs profiles is a two-stage process. Conventionally, Rayleigh wave phase velocity dispersion data, which are obtained from autocorrelation coefficients, are inverted for the shear wave models. In this study,a more practical (one-stage) scheme is utilized where the SPAC coefficients are directly inverted for the unknown shear-wave velocities. The method is based on a weighted damped-leased squares solution. Stability of inversion is achieved by using differential smoothing approach that provides Vs models in which the velocity differences between adjacent layers are minimized.

Original languageEnglish
Title of host publication71st European Association of Geoscientists and Engineers Conference and Exhibition 2009
Subtitle of host publicationBalancing Global Resources. Incorporating SPE EUROPEC 2009
PublisherSociety of Petroleum Engineers
Pages136-140
Number of pages5
ISBN (Print)9781615672363
DOIs
Publication statusPublished - 2009
Event71st European Association of Geoscientists and Engineers Conference and Exhibition 2009 - Amsterdam, Netherlands
Duration: 8 Jun 200911 Jun 2009

Publication series

Name71st European Association of Geoscientists and Engineers Conference and Exhibition 2009: Balancing Global Resources. Incorporating SPE EUROPEC 2009
Volume1

Conference

Conference71st European Association of Geoscientists and Engineers Conference and Exhibition 2009
Country/TerritoryNetherlands
CityAmsterdam
Period8/06/0911/06/09

Fingerprint

Dive into the research topics of 'Estimation of shear wave velocity profiles by the inversion of spatial autocorrelation coefficients'. Together they form a unique fingerprint.

Cite this