1887

Abstract

Summary

Difficulties in processing land seismic data often arise due to insufficient sampling of the wavefield, resulting in poor near surface imaging, and aliasing of coherent noise forms such as surface waves. These problems can be mitigated by improving the wavefield sampling through denser acquisition. Fully unconstrained simultaneous shooting offers a way to substantially increase productivity and hence source densities. However, in order to achieve this we must be able to separate the signal from the interference noise generated by the blended acquisition. Using a de-blending routine based on inverse problems in the curvelet domain (Guillouet et al., 2016) the following case study from The Sultanate of Oman demonstrates the benefits of dense source sampling for broadband, wide-azimuth land data acquired using simultaneous shooting.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700871
2017-06-12
2020-04-05
Loading full text...

Full text loading...

References

  1. Bouska, J.
    [2010] Distance separated simultaneous sweeping, for fast, clean, vibroseis acquisition. Geophysical Prospecting, 58, 123–153.
    [Google Scholar]
  2. Duret, F., Bertin, F., Garceran, K., Sternfels, R., Bardainne, T., Deladerriere, N. and Le Meur, D.
    [2016] Near-surface velocity modeling using a combined inversion of surface and refracted P-waves. The Leading Edge, 35(11):936–941.
    [Google Scholar]
  3. Guillouet, M., Berthaud, A., Bianchi, T. and Pignot, G.
    [2016] Recovery of blended data: a sparse coding approach for seismic acquisition. 78th Conference & Exhibition, EAGE, Extended Abstracts.
    [Google Scholar]
  4. Le Meur, D., Benjamin, N., Cole, R. and Harthy, M.
    [2008] Adaptive Groundroll Filtering. 70th Conference & Exhibition, EAGE, Extended Abstracts.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700871
Loading
/content/papers/10.3997/2214-4609.201700871
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