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    Visualizing the misfit landscape for full waveform inversion

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    SEG_2019_Visualizing the misfit landscape for full waveform inversion.pdf
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    1.422Mb
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    Description:
    Accepted manuscript
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    Type
    Conference Paper
    Authors
    Izzatullah, Muhammad
    van Leeuwen, Tristan
    Peter, Daniel cc
    KAUST Department
    Earth Science and Engineering Program
    Extreme Computing Research Center
    Physical Science and Engineering (PSE) Division
    Date
    2019-08-10
    Permanent link to this record
    http://hdl.handle.net/10754/661899
    
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    Abstract
    Non-linear optimization plays a big role in many tasks in geophysics, such as full waveform inversion (FWI). Visualization of the objective function is useful for the analysis and development of algorithms and formulations. However, in high-dimensional problems, we do not have the capabilities to perform such visualization. Instead, one often works with one or two predefined directions in which to slice the objective. In this work we present an approach to visualizing the misfit landscape together with the optimization trajectories based on principal component analysis. Here, the directions along which to slice the objective are chosen in accordance with the optimization trajectory. We demonstrate the approach through a numerical example using the Marmousi model.
    Citation
    Izzatullah, M., van Leeuwen, T., & Peter, D. (2019). Visualizing the misfit landscape for full waveform inversion. SEG Technical Program Expanded Abstracts 2019. doi:10.1190/segam2019-3216070.1
    Sponsors
    This research work was performed under supervision of Tristan van Leeuwen during the first author's research visit to Mathematical Institute of Utrecht University, Netherlands from 20th January to 5th February 2019. The first author would like to thank Tristan van Leeuwen for his guidance throughout the visit. The research visit and the work reported here was supported by funding from King Abdullah University of Science and Technology (KAUST). We would like to thank Nick Luiken, Ajinkya Kadu, and Sarah Gaaf from Mathematical Institute of Utrecht University, Netherlands and the members of the Seismic Modeling and Inversion (SMI) group at KAUST for constructive discussions.
    Publisher
    Society of Exploration Geophysicists
    Conference/Event name
    Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
    DOI
    10.1190/segam2019-3216070.1
    Additional Links
    https://library.seg.org/doi/10.1190/segam2019-3216070.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2019-3216070.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Extreme Computing Research Center; Earth Science and Engineering Program

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