Waveform-based source-parameter estimation for elastic full waveform inversion

Rie Kamei, David Lumley, Nori Nakata

Research output: Contribution to conferenceConference presentation/ephemera

Abstract

Estimating source parameters (e.g.,wavelet and source mechanisms) is an important aspect of both active- and passive-source elastic full waveform inversion. Waveform-based source-parameter estimation potentially leads deeper insights into the nature of earthquakes and active sources. Accuracy of source parameters affects estimation of elastic parameter distributions, and vice versa as source-path effects (i.e., a trade-off between velocity and source parameters). We use synthetic and field active-source cross-well datasets, and demonstrate clearly that the source-parameter estimation depends on the quality of the velocity models, geometry of sources and receivers, and available data components. We further demonstrate that incorrect source parameters degrade the quality of elastic models obtained by full waveform inversion.

Original languageEnglish
Pages1068-1072
Number of pages5
DOIs
Publication statusPublished - 1 Jan 2019
Event88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States
Duration: 14 Oct 201819 Oct 2018

Conference

Conference88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
CountryUnited States
CityAnaheim
Period14/10/1819/10/18

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