1887

Abstract

Summary

We present an application of seismic full-waveform inversion (FWI) with scaled-Sobolev preconditioning (SSP -after ) to a field seismic dataset. The data were collected over a crooked line with rough topography, using only short offsets, and no low frequency content. As is often the case with land data, this presents a number of challenges for processing with FWI. The reservoir of interest is the Utica Shale in eastern Ohio, USA, which sits at depths between 2.2 km and 2.5 km in the study area. We limited our inversions to approximately 0.6 km in depth, due to the narrow range of offsets. Constraining the velocity structure in the very near surface is essential to recovering the velocity structure at greater depths through subsequent migration processing. The FWI results are validated by a comparison of forward-modelled data to field data, and by a scrutiny of the coherencies of the recovered source signatures.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201701164
2017-06-12
2020-07-06
Loading full text...

Full text loading...

References

  1. Armstrong, T., McAteer, J. and Connolly, P.
    [2001] Removal of overburden velocity anomaly effects for depth conversion. Geophysical Prospecting, 49, 79–99.
    [Google Scholar]
  2. Esri
    [2016] World Topographic Map. Accessed 12 December 2016, https://www.arcgis.com/home/item.html?id=30e5fe3149c34df1ba922e6f5bbf808f.
    [Google Scholar]
  3. Kamei, R., Miyoshi, T., Pratt, R.G., Takanashi, M. and Masaya, S.
    [2015] Application of waveform tomography to a crooked-line 2D land seismic data set. Geophysics, 80(5), B115–B129.
    [Google Scholar]
  4. Kamei, R., Pratt, R.G. and Tsuji, T.
    [2014] Misfit functionals in Laplace-Fourier domain waveform inversion, with application to wide-angle ocean bottom seismograph data. Geophysical Prospecting, 62, 1054–1074.
    [Google Scholar]
  5. Ma, Y. and Hale, D.
    [2013] Wave-equation reflection traveltime inversion with dynamic warping and full-waveform inversion. Geophysics, 78(6), 871–876.
    [Google Scholar]
  6. Malinowski, M., Operto, S. and Ribodetti, A.
    [2011] High-resolution seismic attenuation imaging from wide-aperture onshore data by visco-acoustic frequency-domain full-waveform inversion. Geophysical Journal International, 186(3), 1179–1204.
    [Google Scholar]
  7. Ohio Department of Natural Resources - Division of Oil and Gas Resources Management
    [2016] Ohio Oil & Gas Well Locator. Accessed 12 Dcember 2016, http://oilandgas.ohiodnr.gov/well-information/oil-gas-well-locator.
    [Google Scholar]
  8. Smithyman, B.R. and Clowes, R.M.
    [2012] Waveform tomography of field vibroseis data using an approximate 2D geometry leads to improved velocity models. Geophysics, 77(1), R33–R43.
    [Google Scholar]
  9. U.S. National Park Service
    [2009] World Physical Map. Accessed 12 December 2016, https://www.arcgis.com/home/item.html?id=c4ec722a1cd34cf0a23904aadf8923a0.
    [Google Scholar]
  10. Virieux, J. and Operto, S.
    [2009] An overview of full-waveform inversion in exploration geophysics. Geophysics, 74(6), WCC1–WCC26.
    [Google Scholar]
  11. Zhang, J. and Toksoz, M.N.
    [1998] Nonlinear refraction traveltime tomography. Geophysics, 63(5), 1726–1737.
    [Google Scholar]
  12. Zuberi, M.A.H. and Pratt, R.G.
    [2016] Mitigating Non-linearity in Full Waveform Inversion by Scaled Sobolev Pre-conditioning. In: 78th EAGE Conference & Exhibition.
    [Google Scholar]
  13. [2017] Mitigating the non-linearity in full waveform inversion using scaled-Sobolev pre-conditioning. Manuscript submitted for publication.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701164
Loading
/content/papers/10.3997/2214-4609.201701164
Loading

Data & Media loading...

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