P-waves is scattered due to high impedance contrast between the gas-filled formations with its surrounding, generating complex travel paths which often result in low frequency and low amplitude appearance-deteriorated image. CRP picks become unreliable thus affecting the estimation of the velocity by ray-based method. FWI which uses two way wave equation, is a powerful tool for high-resolution velocity estimation. However the use of diving waves FWI often limit the depth of investigation to one third of the maximum offset only while reflection FWI algorithms neglect density as a parameter and use only velocity to describe the observed measurements. JMI is another method developed for velocity estimation. In JMI, seismic reflections are forward modeled by scattering and propagation operators instead of detailed velocity and density models. The ability of JMI to take advantage of the higher-order scattering allows for a more accurate estimation of the velocity especially in low illuminated areas such as underneath the gas clouds. However, the use of one way wave equation makes JMI less superior to FWI. Both methods actually complement each other. This paper will review the implementation of “hybrid FWI-JMI” which could be the best tool for velocity model estimation in shallow gas affected area.


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  1. Baardman, R.H., Verschuur, D.J., van Borselen, R.G., Frijlink, M.O. and Hegge, R.F.
    [2010] Estimation of primaries by sparse inversion using dual-sensor data, SEG Technical Program Expanded Abstracts, 3468–3472.
    [Google Scholar]
  2. Berkhout, A.J.
    [2012] Combining full wavefield migration and full waveform inversion, a glance into the future of seismic imaging. Geophysics77, S43–S50.
    [Google Scholar]
  3. [2014a,b,c] Review paper: An outlook on the future of seismic imaging, part I-III, Geophysical Prospecting, 62, 911–971.
    [Google Scholar]
  4. GhazaliA.R., VerschuurD.J., and Gisolf, A.
    [2008] Seismic imaging through gas clouds: A data-driven imaging strategy, SEG Technical Program Expanded Abstracts, 2302–2306
    [Google Scholar]
  5. Ghazali, A.R., Hardy, R.J.J., Konuk, T., Masiman, R.I., Xin, K., Mad Zahir, M.H., Abd Rahim, M.F.
    [2016] Velocity model building and imaging in the presence of shallow gas. First break34 (10), 79–84.
    [Google Scholar]
  6. Jones, I.F.
    [2018] Velocities, Imaging and Waveform Inversion.EAGE Publication bv, Netherlands.
    [Google Scholar]
  7. Verschuur, D.J., Staal, X.R. and BerkhoutA.J.
    [2016] Joint migration inversion: Simultaneous determination of velocity fields and depth images using all orders of scattering. The Leading Edge, 1037–1046.
    [Google Scholar]
  8. Virieux, J., and S.Operto
    , [2009] An overview of full-waveform inversion in exploration geophysics. Geophysics74 (6), WCC1–WCC26.
    [Google Scholar]

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