Source Wavelet Extraction using Seismic Interferometry - PowerPoint PPT Presentation

1 / 25
About This Presentation
Title:

Source Wavelet Extraction using Seismic Interferometry

Description:

Source Wavelet Extraction using Seismic Interferometry ... It s because we also need an accurate source wavelet for VSP data processing: deconvolution, ... – PowerPoint PPT presentation

Number of Views:308
Avg rating:3.0/5.0
Slides: 26
Provided by: Note83
Category:

less

Transcript and Presenter's Notes

Title: Source Wavelet Extraction using Seismic Interferometry


1
Source Wavelet Extraction usingSeismic
Interferometry
  • C. Boonyasiriwat and S. Dong
  • February 5, 2008

2
Outline
  • Goal and Motivation
  • Theory
  • Numerical Results
  • SSP (Surface Seismic Profile) Synthetic Data
  • SSP North Sea Data
  • VSP (Vertical Seismic Profile) Synthetic Data
  • Summary
  • Future Work

3
Goal
  • To estimate a seismic source signature.

4
Motivation
  • seismic migration/interpretation

5
Outline
  • Goal and Motivation
  • Theory
  • Numerical Results
  • SSP (Surface Seismic Profile) Synthetic Data
  • SSP North Sea Data
  • VSP (Vertical Seismic Profile) Synthetic Data
  • Conclusion
  • Future Work

6
Theory
  • Behura (SEG 2007) presented the Virtual Real
    Source method to extract the source wavelet from
    SSP synthetic data.
  • This method is based on Seismic Interferometry
    using the reciprocity equation of correlation
    type.
  • Assumptions no attenuation and source signature
    is the same for all shots.

7
Theory
Virtual SSP Primary W(?)2G(BA)
SSP Primary W(?)G(As)
SSP Multiple W(?)G(Bs)
8
Theory
  • Virtual CSG
  • Real CSG

9
Outline
  • Goal and Motivation
  • Theory
  • Numerical Results
  • SSP (Surface Seismic Profile) Synthetic Data
  • SSP North Sea Data
  • VSP (Vertical Seismic Profile) Synthetic Data
  • Conclusion
  • Future Work

10
Numerical Results
  • SSP Synthetic Data
  • 10-Layer Model
  • Mapleton Model
  • SSP North Sea Data
  • VSP Synthetic Data

11
10-Layer Model
12
Original CSG vs Virtual CSG
13
True Source vs Extracted Source
14
Mapleton Model
15
Original CSG vs Virtual CSG
16
True Source vs. Extracted Source
17
Numerical Results
  • SSP Synthetic Data
  • 10-Layer Model
  • Mapleton Model
  • SSP North Sea Data
  • VSP Synthetic Data

17
18
North Sea Data
  • There are 515 shots with 480 hydrophones per
    shot.
  • The shot interval is 37.5 m and the hydrophone
    interval is 12.5 m.
  • The time sampling rate is 2 ms and the total
    record time is 10 s.

19
North Sea Data
120 Hydrophones
1001 Shots
dt 4 ms Tmax 6 s
20
Original CSG vs. Virtual CSG
21
North Sea Extracted Source Wavelet
22
Air-gun Source Signature (at 300 m)
23
Numerical Results
  • SSP Synthetic Data
  • 10-Layer Model
  • Mapleton Model
  • SSP North Sea Data
  • VSP Synthetic Data

23
24
Motivation for VSP Case
  • Why extract a VSP source wavelet?
  • Its because we also need an accurate source
    wavelet for VSP data processing deconvolution,
    migration, improving spatial resolution.

25
Simple VSP Model
VSP
26
Original VSP CSG vs Virtual VSP CSG
27
True Source vs. Extracted Source
28
Outline
  • Goal and Motivation
  • Theory
  • Numerical Results
  • SSP (Surface Seismic Profile) Synthetic Data
  • SSP North Sea Data
  • VSP (Vertical Seismic Profile) Synthetic Data
  • Summary
  • Future Work

29
Summary
  • Seismic interferometry can provide a good
    estimate of a source wavelet from seismic data
    without subsurface information.
  • The source signature is assumed to be the same
    for every shot and there is no attenuation.
  • The minimum phase assumption is not required.
  • The accuracy of the wavelet estimate degrades
    with decreasing source aperture.

30
Future Work
  • Test on the variation of source wavelets, e.g.,
    varying amplitude and phase spectra.
  • Apply this method to VSP field data.
  • Estimate a source radiation pattern.
Write a Comment
User Comments (0)
About PowerShow.com