1887

Abstract

Summary

We propose a method of source-side separation of up- and down-going acoustic wavefields in order to predict accurate far-field signatures of airgun arrays from reflection-free near-field data. The separated down going component of the wavefield can be then used for estimation of the effective sea reflection coefficient, which can depend on frequency and the angle of incidence at the sea surface.

The technology is based on simultaneous measurement of near-field pressure P and z-component of the gradient of pressure dP/dz of the wavefield produced by airgun array marine seismic source. By combining P data with dP/dz data it is possible to remove the down going component of the wavefield that is due to reflections from the sea surface. In order to measure P and dP/dz, a pair of vertically distributed NFHs can be used.

Numerical examples provided in the paper illustrate that the present method outperforms the conventional method of Ziolkowski on estimation of airgun notionals from NFH measurements in cases when assumed sea surface reflection coefficient is wrong. Field test of the proposed algorithm is in progress.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700843
2017-06-12
2024-04-27
Loading full text...

Full text loading...

References

  1. Hargreaves, N., Telling, R., Grion, S.
    [2016] Source De-ghosting and Directional Designature Using Near-field Derived Airgun Signatures: 78th EAGE Conference & Exhibition, Expanded Abstracts.
    [Google Scholar]
  2. Klüver, T.
    , [2015] Derivation of Statistical Sea-surface Information from Dual-sensor Towed Streamer Data: 77th EAGE Conference & Exhibition, Expanded Abstracts.
    [Google Scholar]
  3. Ziolkowski, A., Parkes, G.E., Hatton L and HauglandT.
    [1982] The signature of an air gun array: computation from near-field measurements including interactions:Geophysics, 47, 1413–1421.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700843
Loading
/content/papers/10.3997/2214-4609.201700843
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