Robust velocity estimation via Joint Migration Inversion and Full Waveform Inversion

Conference paper (2020)

Authors

Gerald Eisenberg Teecware gmbh, Isernhagen
Eliakim Schuenemann Teecware gmbh, Isernhagen
Guido Gierse Teecsolutions LLC, Houston
D.J. Verschuur ImPhys/Medical Imaging - AS
S. Qu ImPhys/Medical Imaging - AS
Research Group
ImPhys/Medical Imaging (AS) (TU Delft)
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Published Date

2020

Language

English

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Faculty

Applied Sciences

Department

ImPhys/Imaging Physics

Research Group

ImPhys/Medical Imaging

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.