1887
PDF

Abstract

Subsurface stress field induces S-wave anisotropy. This information contributes to efficient well designing and drilling plan. So, subsurface S-wave anisotropic information is quite significant for the future natural earth resource development. In spite of the importance of S-wave information, S-wave survey is quite difficult to conduct in offshore field because of water shear modulus. In the previous study, we constructed a novel offshore S-wave survey scheme with interferometric approach and estimated S-wave anisotropic orientation angle even in offshore cases with high accuracy. On the other hand, some limitations on its applicability to complex geological structure have been indicated. In the present study, we propose a new estimation scheme combining seismic interferometry and full waveform inversion. We conduct three types of numerical experiment for feasibility test. The results for each test show sufficient accuracy and, become the proof of concept.

Loading

Article metrics loading...

/content/papers/10.3997/2352-8265.20140239
2019-05-26
2024-04-25
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2019/watanabe.html?itemId=/content/papers/10.3997/2352-8265.20140239&mimeType=html&fmt=ahah

References

  1. Watanabe, Y., Mikada, H., & Takekawa, J.
    , 2017, Estimate azimuthal shear-wave anisotropy by applying virtual-source method with a line of air-gun shots and a single ocean-bottom seismometer. 87th Soc. Expl. Geophys., Expanded Abstract, 2476–2480
    [Google Scholar]
  2. , 2018a, Estimation of azimuthal angle of shear wave anisotropy by utilizing the virtual source method with an OBS, 80th EAGE Conference and Exhibition 2018 Extended abstract, No.768
    [Google Scholar]
  3. Claerbout, J. F.
    , 1968, Synthesis of a layered medium from its acoustic transmission response. Geophysics, 33, 264–269.
    [Google Scholar]
  4. Bakulin, A., & Calvert, R., Shell International E&P
    , 2004, Virtual Source: new method for imaging and 4D below complex overburden. 74th Soc. Expl. Geophys., Expanded Abstract, 1921–1924.
    [Google Scholar]
  5. Watanabe, Y., Mikada, H., & Takekawa, J.
    2018b, Estimation of azimuthal angle of S-wave anisotropy using virtual cross-dipole data generated by the Virtual Source Method, The 22st International Symposium on Recent Advances in Exploration Geophysics (RAEG 2018)
    [Google Scholar]
  6. Alford, R.M.
    , 1986, Shear Data in the Presence of Azimuthal Anisotropy. 56th Soc. Expl. Geophys., Expanded Abstract, 476–479.
    [Google Scholar]
  7. Winterstein, D.F, & Meadows, M.A
    , 1991Shear-wave polarizations and subsurface stress directions at Lost Hills field. Geophysics, 561331–1348
    [Google Scholar]
  8. Tarantola, A.
    , 1984, Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49, P. 1259–1266
    [Google Scholar]
  9. Saenger, E.H., Gold, N., & Shapiro, A.
    , 2000, Modeling the propagation of elastic waves using a modified finite-difference grid. Wave Motion, 31, 77–92.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2352-8265.20140239
Loading
/content/papers/10.3997/2352-8265.20140239
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