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    Target-oriented time-lapse waveform inversion using redatumed data: Feasibility and robustness

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    Type
    Conference Paper
    Authors
    Li, Yuanyuan cc
    Guo, Qiang
    Alkhalifah, Tariq Ali cc
    Kazei, Vladimir cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2020-09-30
    Online Publication Date
    2020-09-30
    Print Publication Date
    2020-09-30
    Permanent link to this record
    http://hdl.handle.net/10754/665477
    
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    Abstract
    Seismic monitoring of the changes in the subsurface induced by various types of injections into reservoirs is important, yet challenging. Time-lapse waveform inversion can retrieve quantitative estimates of subsurface property changes. Considering that property changes usually occur in a limited region rather than the whole subsurface, we present a target-oriented time-lapse waveform inversion method, which allows for dynamic monitoring of the target of interest. We employ a redatuming technique to produce virtual data at a desired datum level for the target-oriented inversion. Given the redatumed time-lapse data, the property changes can be quantitatively estimated from the data difference for the virtual survey using a double-difference waveform inversion (DDWI). In the numerical examples, the dependence of the inversion performance on the quality of overburden model and its robustness to nonrepeatable acquisition survey and random noise is investigated. The numerical results demonstrate that the inversion method is capable of recovering the time-lapse changes reasonably well under some challenging circumstances. We will show field data examples at the conference.
    Citation
    Li, Y., Guo, Q., Alkhalifah, T., & Kazei, V. (2020). Target-oriented time-lapse waveform inversion using redatumed data: Feasibility and robustness. SEG Technical Program Expanded Abstracts 2020. doi:10.1190/segam2020-3420515.1
    Sponsors
    We would like to thank the Shaheen supercomputing Laboratory in KAUST for their computational support. We thank KAUST for its support and SWAG for collaborative environment.
    Publisher
    Society of Exploration Geophysicists
    DOI
    10.1190/segam2020-3420515.1
    Additional Links
    https://library.seg.org/doi/10.1190/segam2020-3420515.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2020-3420515.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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