Robust velocity estimation via Joint Migration Inversion and Full Waveform Inversion

Gerald Eisenberg, Eliakim Schuenemann, Guido Gierse, Eric Verschuur, Shan Qu

Research output: Contribution to conferencePaperScientificpeer-review

Abstract

High-resolution velocity models of the subsurface in depth domain are increasingly obtained from seismic data by Full Waveform Inversion (FWI), which has become the leading-edge technology in this domain. FWI applications, however, often fail if severely band-limited seismic data lacks low-frequency information that determines the general trend of the subsurface velocity. The inversion then produces cycle skipping by adapting incompatible phases of the synthetic and measured data. In order to avoid this FWI failure, the general velocity trend may be obtained as starting models by alternative methods from severely band-limited seismic data. The Joint Migration Inversion (JMI) provides a better reconstruction of the velocity trend in the starting model, thus driving the FWI results much closer to the actual subsurface velocity. This is demonstrated for synthetic 2D seismic data from a realistic subsurface model obtained in marine gas-hydrate studies.

Original languageEnglish
Pages1224-1228
DOIs
Publication statusPublished - 2020
EventSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 - San Antonio, United States
Duration: 15 Sep 201920 Sep 2019

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
CountryUnited States
CitySan Antonio
Period15/09/1920/09/19

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    Eisenberg, G., Schuenemann, E., Gierse, G., Verschuur, E., & Qu, S. (2020). Robust velocity estimation via Joint Migration Inversion and Full Waveform Inversion. 1224-1228. Paper presented at Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019, San Antonio, United States. https://doi.org/10.1190/segam2019-3216236.1