1887

Abstract

Summary

In an effort to eliminating the receiver ghost, the use of multi-component measurements was introduced, which records not only the pressure, but also the velocity (or acceleration) in the vertical and crossline directions. Because the vertical component has a different frequency notch pattern than that of the pressure, they can be combined for deghosting. In addition, both the crossline and vertical velocities can be beneficial for the sampling condition of the upgoing wavefield in the crossline direction. In this abstract, we describe two deghosting approaches that utilize multi-component measurements with the aim to deriving a densely sampled upgoing wavefield. The first approach is based on a ghost model, while the other approach is not. To establish the ghost model, accurate knowledge of the receiver depth and sea surface reflection coefficient is indispensable, which is in practice not always (accurately) available, therefore rendering the approach with a ghost model potentially less robust. On the other hand, it can be shown that the adoption of the ghost model helps improve the sampling condition, which can be of significance in reconstructing the wavefield in the crossline direction. These trade-offs will be studied in this abstract based on real data.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201701402
2017-06-12
2024-04-19
Loading full text...

Full text loading...

References

  1. Fokkema, J.T. and van den Berg, P.M.
    [1993] Seismic applications of acoustic reciprocity. Elsevier Science.
    [Google Scholar]
  2. Özbek, A., Vassallo, M., Özdemir, K., van Manen, D. and Eggenberger, K.
    [2010] Crossline wavefield reconstruction from multicomponent streamer data: Part 2 — Joint interpolation and 3D up/down separation by generalized matching pursuit. Geophysics, 75, WB69–WB85.
    [Google Scholar]
  3. Tang, Z. and Campman, X.
    [2016] Joint up/down decomposition and reconstruction using three-component streamers with or without ghost model: the sampling theory. Geophysical Prospecting, DOI: 10.1111/1365‑2478.12438.
    https://doi.org/10.1111/1365-2478.12438 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701402
Loading
/content/papers/10.3997/2214-4609.201701402
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