1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 77th EAGE Conference and Exhibition 2015
  5. Conference paper

Abstract

Summary

Full waveform inversion (FWI) is a process of data fitting using full wavefield, and low frequencies play a crucial role in the inversion process. However, in traditional seismic exploration, the frequency range of signals recorded by receivers is limited, which low frequencies cannot be recorded for some reasons, leading to FWI algorithms fall into local minima due to cycle skipping issue. We propose a wavefield phase correlation shifting (WPCS) method to improve cycle skipping issue of FWI, which can obtain a better inversion result without low frequencies compared with conventional FWI methods. Test of 2D frequency domain FWI based on Marmousi model shows that the result of inversion has a better result with WPCS method than conventional method.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201412768
2015-06-01
2024-04-26

  • From This Site

    /content/papers/10.3997/2214-4609.201412768
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bi, H. and Lin, T.
    [2014] Effective Cycle Skipping Reduction through Adaptive Data Selection for Full Waveform Inversion. 76th EAGE Conference & Exhibition, Extended Abstracts.
     [Google Scholar]
  2. Biondi, B. and Almomin, A.
    [2012] Tomographic full-waveform inversion (TFWI) by combining full waveform inversion with wave-equation migration velocity analysis. 82nd Annual International Meeting, SEG, Expanded Abstracts.
     [Google Scholar]
  3. Brenders, A. and Pratt, J. R. G.
    [2007] Efficient waveform tomography for lithospheric imaging: Implications for realistic, 2D acquisition geometries and low-frequency data. Geophysical Journal International, 168(1), 152–170.
     [Google Scholar]
  4. Choi, Y. and Alkhalifah, T.
    [2011] Frequency-domain waveform inversion using the unwrapped phase. 81st Annual International Meeting, SEG, Expanded Abstracts, 2576–2580.
     [Google Scholar]
  5. Ha, W. and ShinC.
    [2012] Laplace-domain full-waveform inversion of seismic data lacking low frequency information. Geophysics, 77(5), R199–R206.
     [Google Scholar]
  6. Operto, S., Ravaut, C. and Improta, L., et al.
    [2004] Quantitative imaging of complex structures from dense wide-aperture seismic data by multiscale traveltime and waveform inversions: A case study. Geophysical Prospecting, 52(6), 625–651.
     [Google Scholar]
  7. Shin, C. and Cha, Y.H.
    [2008] Waveform inversion in the Laplace domain. Geophysical Journal International, 173(3), 922–931.
     [Google Scholar]
  8. Symes, W.W.
    [2008] Migration velocity analysis and waveform inversion. Geophysical Prospecting, 56(6), 765–790.
     [Google Scholar]
  9. Wenyi HuW.
    [2014] FWI without low frequency data-beat tone inversion. 84th Annual International Meeting, SEG, Expanded Abstracts.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201412768
Loading
Full Waveform Inversion Overcoming Cycle Skipping by Phase Correlation Shifting
Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201412768
/content/papers/10.3997/2214-4609.201412768
/content/papers/10.3997/2214-4609.201412768
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error