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THE SIGNIFICANCE OF INCORPORATING A
3D POINT SOURCE IN THE INVERSE SCATTERING SERIES
(ISS) INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
Xinglu Lin* and Arthur B. Weglein
M-OSRP, University of Houston
Oct. 19th, 2015
1
BACKGROUND
The ISS internal-multiple attenuation algorithm:
Is the only method that does not need any subsurface
information and is earth model-type independent.
Can predict all internal multiples at once.
Is widely used by major service and oil companies.
(e.g. CGG, PGS, Schlumberger, Petrobras, Aramco, KOC, BP…)
2
BACKGROUND
Onshore effectiveness:
“Their performance was demonstrated with complex synthetic and
challenging land field data sets with encouraging results; other internal
multiple-suppression methods were unable to demonstrate similar
effectiveness.”
—Yi Luo et al., 2011, TLE, 884-889
“Elimination of land internal multiples based on the inverse scattering series”
3
4
Offshore effectiveness: offshore Brazil data example
(A. Ferreira and A. Weglein, 2011; A. Ferreira et al., 2013, Petrobras)
5
Offshore effectiveness: offshore Brazil data example
(A. Ferreira and A. Weglein, 2011; A. Ferreira et al., 2013, Petrobras)
MOTIVATION AND HIGHLIGHT IN THIS TALK
There are on-shore and off-shore regions, which are close to 1D earth and have
serious internal multiple problems. (e.g., Central North sea, Canada)
The frequently used ISS internal multiple attenuator for a 1D subsurface is
reduced from a full 2D theory.
However, the source is better to be assumed as a 3D point source (e.g. dynamite,
airgun).
The objective of this paper is to improve the internal-multiple prediction with
incorporating a 3D point source in the ISS internal multiple attenuation
algorithm for a 1D subsurface.
6
THEORY
The ISS internal multiple attenuation algorithm is a multi-
dimensional method (Araujo et al., 1994; Weglein et al., 1997).
7
Start with a complete 3D ISS internal multiple
attenuator
Reduced it for a 1D subsurface
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE AND A 3D SUBSURFACE
3D theory requires:
8
Z
Y
X
Source
Receiver
3D earth-Properties
vary in (x,y,z)
direction.
3D theory requires:
9
Z
Y
X
Source
Receiver
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE AND A 3D SUBSURFACE
q
r
Source
Receiver
3D source-1D earth algorithm requires:
10
Z
Y
X
1D earth -
Properties vary
in z-direction.
Independent of
azimuth angle
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE AND A 1D SUBSURFACE
Source
Receiver
3D source-1D earth algorithm requires:
11
Z
Y
X
Recorded Seismic data:
D(rh,t)
rh
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE AND A 1D SUBSURFACE
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
12
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
13
z1
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
14
z1
z2
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
15
z1
z2
z3
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
16
z1
z2
z3
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
17
D(rh,t) b1(kh,z) D3(rh, t)b3(kh, ω)
Attenuate the internal multiples: D(rh,t)+D3(rh, t)
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et
al., 1997) :
18
D(rh,t) b1(kh,z) D3(rh, t)b3(kh, ω)
Input preparation Output transform
ISS INTERNAL MULTIPLE ATTENUATOR
FOR A 1D SUBSURFACE
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 2D LINE SOURCE
19
D(rh,t) b1(kh,z)
ISS prediction
D3(rh, t)
Fourier transform Inverse Fourier transform
b3(kh, ω)
Attenuate the internal multiples: D(rh,t)+D3(rh, t)
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE
20
D(rh,t) b1(kh,z)
ISS prediction
D3(rh, t)
Hankel transform Inverse Hankel transform
b3(kh, ω)
Attenuate the internal multiples: D(rh,t)+D3(rh, t)
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE
21
D(rh,t) b1(kh,z)
ISS prediction
D3(rh, t)
Asymptotic transform Inverse asymptotic transform
b3(kh, ω)
Attenuate the internal multiples: D(rh,t)+D3(rh, t)
DIFFERENCE BETWEEN
ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING
A 3D POINT SOURCE V.S. A 2D LINE SOURCE
22
Asymptotic transform Inverse asymptotic transform
D(rh,t) b1(kh,z) D3(rh, t)b3(kh, ω)
Hankel transform Inverse Hankel transform
Assuming
a 2D line source
Assuming
a 3D point source
Fourier transform Inverse Fourier transform
ISS prediction
NUMERICAL TESTS
Numerical tests on a 3D source – 1D earth dataset:
Internal multiple prediction assuming a 2D line source
Fourier transform
Internal multiple prediction assuming a 3D point source
Hankel transform
Asymptotic transform
23
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
ACOUSTIC MODEL
3D point source broad-band data using reflectivity method
24
100m
150m
MS
V=1500m/s
V=2200m/s
V=8000m/s
No ghosts; No free-surface multiples
0
0.2
0.4
Time(s)
100 200
Trace Number
-0.001 0 0.001
3D point source
data
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
SYNTHETIC DATA
Primaries
25
First-order internal multiple
0
0.2
0.4
Time(s)
100 200
Trace Number
0
0.2
0.4
Time(s)
100 200
Trace Number
-5 0 5
x10-7
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 2D LINE SOURCE
26
0
0.2
0.4
Time(s)
100 200
Trace Number
-0.001 0 0.001
3D point source
data
×10-7
2D line source
IM prediction
(Fourier transform)
Very small scale
0
0.2
0.4
Time(s)
100 200
Trace Number
27
0
0.2
0.4
Time(s)
100 200
Trace Number
-0.001 0 0.001
3D point source
data
0
0.2
0.4
Time(s)
100 200
Trace Number
-0.001 0 0.001
3D point source
IM prediction
(Hankel transform)
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE
0
0.2
0.4
Time(s)
100 200
Trace Number
28
0
0.2
0.4
Time(s)
100 200
Trace Number
-0.001 0 0.001
3D point source
data
0
0.2
0.4
Time(s)
100 200
Trace Number
-0.001 0 0.001
3D point source
IM prediction
(Asymptotic transform)
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
ISS INTERNAL MULTIPLE ATTENUATOR
ASSUMING A 3D POINT SOURCE
0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46
Time (s)
-0.002
0
Amplitude NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(NEAR OFFSET TRACE COMPARISON, 100M)
29
3D point source
internal-multiple
0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46
Time (s)
-0.002
0
Amplitude
30
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(NEAR OFFSET TRACE COMPARISON, 100M)
0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46
Time (s)
-0.002
0
Amplitude
31
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(NEAR OFFSET TRACE COMPARISON, 100M)
×10-7
0.405 0.410 0.415 0.420 0.425 0.430
Time (s)
-1
0
1
x10-7
Amplitude
0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46
Time (s)
-0.002
0
Amplitude
32
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D source ISS
internal-multiple
prediction
(Hankel transform)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(NEAR OFFSET TRACE COMPARISON, 100M)
0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46
Time (s)
-0.002
0
Amplitude
33
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D source ISS
internal-multiple
prediction
(Hankel transform)
3D source ISS
internal-multiple
prediction
(Asymptotic Bessel)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(NEAR OFFSET TRACE COMPARISON, 100M)
0.42 0.43 0.44 0.45 0.46 0.47 0.48
Time (s)
-0.004
-0.002
0
Amplitude
34
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(FAR OFFSET TRACE COMPARISON, 500M)
0.42 0.43 0.44 0.45 0.46 0.47 0.48
Time (s)
-0.004
-0.002
0
Amplitude
35
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(FAR OFFSET TRACE COMPARISON, 500M)
0.42 0.43 0.44 0.45 0.46 0.47 0.48
Time (s)
-0.004
-0.002
0
Amplitude
0.440 0.445 0.450 0.455 0.460
Time (s)
-2
0
x10-7
Amplitude
36
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(FAR OFFSET TRACE COMPARISON, 500M)
×10-7
0.42 0.43 0.44 0.45 0.46 0.47 0.48
Time (s)
-0.004
-0.002
0
Amplitude
37
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D source ISS
internal-multiple
prediction
(Hankel transform)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(FAR OFFSET TRACE COMPARISON, 500M)
0.42 0.43 0.44 0.45 0.46 0.47 0.48
Time (s)
-0.004
-0.002
0
Amplitude
38
2D line source ISS
internal-multiple
prediction
(Fourier transform)
3D source ISS
internal-multiple
prediction
(Hankel transform)
3D source ISS
internal-multiple
prediction
(Asymptotic Bessel)
3D point source
internal-multiple
NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA
3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR
(FAR OFFSET TRACE COMPARISON, 500M)
ANALYSIS
When the data comes from a 3D point source, the ISS internal multiple
attenuation algorithm with a 2D line source assumption can make the prediction
result significantly less effective.
Incorporating a 3D source in the algorithm can improve its effectiveness within
the current ISS internal-multiple attenuation algorithm.
39
0.42 0.43 0.44 0.45 0.46 0.47 0.48
Time (s)
-0.004
-0.002
0
Amplitude
3D source data
2D source
prediction
3D source prediction
3D source prediction
(Asymptotic)
MULTIPLE REMOVAL STRATEGY
40
Internal-multiple-removal
New adaptive criterion
Pre-requisites: Onshore
(JingWu, 4:00pm, RM222)
Three-
pronged
strategy
Within the
algorithm
Beyond the
algorithm
Incorporate the
source dimension
(This presentation)
Incorporate the
radiation pattern
(Jinlong Yang, 1:55pm)
Spurious event
removal
(Chao Ma, 2:20pm)
Elimination
algorithm
(Yanglei Zou, 2:45pm)
KEY POINTS
41
The ISS internal-multiple prediction algorithm is the most capable method because it
does not require subsurface information.
This paper shows
its value of improving the effectiveness of internal-multiple attenuator;
it matters for the methods beyond the current ISS internal multiple attenuator.
It is always important to incorporate the 3D source in the ISS internal multiple
prediction.
Incorporate the right
source dimension
42

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Arthur weglein

  • 1. THE SIGNIFICANCE OF INCORPORATING A 3D POINT SOURCE IN THE INVERSE SCATTERING SERIES (ISS) INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE Xinglu Lin* and Arthur B. Weglein M-OSRP, University of Houston Oct. 19th, 2015 1
  • 2. BACKGROUND The ISS internal-multiple attenuation algorithm: Is the only method that does not need any subsurface information and is earth model-type independent. Can predict all internal multiples at once. Is widely used by major service and oil companies. (e.g. CGG, PGS, Schlumberger, Petrobras, Aramco, KOC, BP…) 2
  • 3. BACKGROUND Onshore effectiveness: “Their performance was demonstrated with complex synthetic and challenging land field data sets with encouraging results; other internal multiple-suppression methods were unable to demonstrate similar effectiveness.” —Yi Luo et al., 2011, TLE, 884-889 “Elimination of land internal multiples based on the inverse scattering series” 3
  • 4. 4 Offshore effectiveness: offshore Brazil data example (A. Ferreira and A. Weglein, 2011; A. Ferreira et al., 2013, Petrobras)
  • 5. 5 Offshore effectiveness: offshore Brazil data example (A. Ferreira and A. Weglein, 2011; A. Ferreira et al., 2013, Petrobras)
  • 6. MOTIVATION AND HIGHLIGHT IN THIS TALK There are on-shore and off-shore regions, which are close to 1D earth and have serious internal multiple problems. (e.g., Central North sea, Canada) The frequently used ISS internal multiple attenuator for a 1D subsurface is reduced from a full 2D theory. However, the source is better to be assumed as a 3D point source (e.g. dynamite, airgun). The objective of this paper is to improve the internal-multiple prediction with incorporating a 3D point source in the ISS internal multiple attenuation algorithm for a 1D subsurface. 6
  • 7. THEORY The ISS internal multiple attenuation algorithm is a multi- dimensional method (Araujo et al., 1994; Weglein et al., 1997). 7 Start with a complete 3D ISS internal multiple attenuator Reduced it for a 1D subsurface
  • 8. ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE AND A 3D SUBSURFACE 3D theory requires: 8 Z Y X Source Receiver 3D earth-Properties vary in (x,y,z) direction.
  • 9. 3D theory requires: 9 Z Y X Source Receiver ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE AND A 3D SUBSURFACE
  • 10. q r Source Receiver 3D source-1D earth algorithm requires: 10 Z Y X 1D earth - Properties vary in z-direction. Independent of azimuth angle ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE AND A 1D SUBSURFACE
  • 11. Source Receiver 3D source-1D earth algorithm requires: 11 Z Y X Recorded Seismic data: D(rh,t) rh ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE AND A 1D SUBSURFACE
  • 12. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE 12
  • 13. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE 13 z1
  • 14. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE 14 z1 z2
  • 15. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : 15 z1 z2 z3 ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE
  • 16. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : 16 z1 z2 z3 ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE
  • 17. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : 17 D(rh,t) b1(kh,z) D3(rh, t)b3(kh, ω) Attenuate the internal multiples: D(rh,t)+D3(rh, t) ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE
  • 18. ISS internal multiple attenuator for 1D subsurface (Araujo et al., 1994; Weglein et al., 1997) : 18 D(rh,t) b1(kh,z) D3(rh, t)b3(kh, ω) Input preparation Output transform ISS INTERNAL MULTIPLE ATTENUATOR FOR A 1D SUBSURFACE
  • 19. ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 2D LINE SOURCE 19 D(rh,t) b1(kh,z) ISS prediction D3(rh, t) Fourier transform Inverse Fourier transform b3(kh, ω) Attenuate the internal multiples: D(rh,t)+D3(rh, t)
  • 20. ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE 20 D(rh,t) b1(kh,z) ISS prediction D3(rh, t) Hankel transform Inverse Hankel transform b3(kh, ω) Attenuate the internal multiples: D(rh,t)+D3(rh, t)
  • 21. ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE 21 D(rh,t) b1(kh,z) ISS prediction D3(rh, t) Asymptotic transform Inverse asymptotic transform b3(kh, ω) Attenuate the internal multiples: D(rh,t)+D3(rh, t)
  • 22. DIFFERENCE BETWEEN ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE V.S. A 2D LINE SOURCE 22 Asymptotic transform Inverse asymptotic transform D(rh,t) b1(kh,z) D3(rh, t)b3(kh, ω) Hankel transform Inverse Hankel transform Assuming a 2D line source Assuming a 3D point source Fourier transform Inverse Fourier transform ISS prediction
  • 23. NUMERICAL TESTS Numerical tests on a 3D source – 1D earth dataset: Internal multiple prediction assuming a 2D line source Fourier transform Internal multiple prediction assuming a 3D point source Hankel transform Asymptotic transform 23
  • 24. NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA ACOUSTIC MODEL 3D point source broad-band data using reflectivity method 24 100m 150m MS V=1500m/s V=2200m/s V=8000m/s No ghosts; No free-surface multiples
  • 25. 0 0.2 0.4 Time(s) 100 200 Trace Number -0.001 0 0.001 3D point source data NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA SYNTHETIC DATA Primaries 25 First-order internal multiple
  • 26. 0 0.2 0.4 Time(s) 100 200 Trace Number 0 0.2 0.4 Time(s) 100 200 Trace Number -5 0 5 x10-7 NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 2D LINE SOURCE 26 0 0.2 0.4 Time(s) 100 200 Trace Number -0.001 0 0.001 3D point source data ×10-7 2D line source IM prediction (Fourier transform) Very small scale
  • 27. 0 0.2 0.4 Time(s) 100 200 Trace Number 27 0 0.2 0.4 Time(s) 100 200 Trace Number -0.001 0 0.001 3D point source data 0 0.2 0.4 Time(s) 100 200 Trace Number -0.001 0 0.001 3D point source IM prediction (Hankel transform) NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE
  • 28. 0 0.2 0.4 Time(s) 100 200 Trace Number 28 0 0.2 0.4 Time(s) 100 200 Trace Number -0.001 0 0.001 3D point source data 0 0.2 0.4 Time(s) 100 200 Trace Number -0.001 0 0.001 3D point source IM prediction (Asymptotic transform) NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA ISS INTERNAL MULTIPLE ATTENUATOR ASSUMING A 3D POINT SOURCE
  • 29. 0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46 Time (s) -0.002 0 Amplitude NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (NEAR OFFSET TRACE COMPARISON, 100M) 29 3D point source internal-multiple
  • 30. 0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46 Time (s) -0.002 0 Amplitude 30 2D line source ISS internal-multiple prediction (Fourier transform) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (NEAR OFFSET TRACE COMPARISON, 100M)
  • 31. 0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46 Time (s) -0.002 0 Amplitude 31 2D line source ISS internal-multiple prediction (Fourier transform) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (NEAR OFFSET TRACE COMPARISON, 100M) ×10-7 0.405 0.410 0.415 0.420 0.425 0.430 Time (s) -1 0 1 x10-7 Amplitude
  • 32. 0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46 Time (s) -0.002 0 Amplitude 32 2D line source ISS internal-multiple prediction (Fourier transform) 3D source ISS internal-multiple prediction (Hankel transform) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (NEAR OFFSET TRACE COMPARISON, 100M)
  • 33. 0.37 0.38 0.39 0.40 0.41 0.42 0.43 0.44 0.45 0.46 Time (s) -0.002 0 Amplitude 33 2D line source ISS internal-multiple prediction (Fourier transform) 3D source ISS internal-multiple prediction (Hankel transform) 3D source ISS internal-multiple prediction (Asymptotic Bessel) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (NEAR OFFSET TRACE COMPARISON, 100M)
  • 34. 0.42 0.43 0.44 0.45 0.46 0.47 0.48 Time (s) -0.004 -0.002 0 Amplitude 34 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (FAR OFFSET TRACE COMPARISON, 500M)
  • 35. 0.42 0.43 0.44 0.45 0.46 0.47 0.48 Time (s) -0.004 -0.002 0 Amplitude 35 2D line source ISS internal-multiple prediction (Fourier transform) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (FAR OFFSET TRACE COMPARISON, 500M)
  • 36. 0.42 0.43 0.44 0.45 0.46 0.47 0.48 Time (s) -0.004 -0.002 0 Amplitude 0.440 0.445 0.450 0.455 0.460 Time (s) -2 0 x10-7 Amplitude 36 2D line source ISS internal-multiple prediction (Fourier transform) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (FAR OFFSET TRACE COMPARISON, 500M) ×10-7
  • 37. 0.42 0.43 0.44 0.45 0.46 0.47 0.48 Time (s) -0.004 -0.002 0 Amplitude 37 2D line source ISS internal-multiple prediction (Fourier transform) 3D source ISS internal-multiple prediction (Hankel transform) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (FAR OFFSET TRACE COMPARISON, 500M)
  • 38. 0.42 0.43 0.44 0.45 0.46 0.47 0.48 Time (s) -0.004 -0.002 0 Amplitude 38 2D line source ISS internal-multiple prediction (Fourier transform) 3D source ISS internal-multiple prediction (Hankel transform) 3D source ISS internal-multiple prediction (Asymptotic Bessel) 3D point source internal-multiple NUMERICAL TESTS ON A 3D SOURCE-1D EARTH DATA 3D SOURCE VS. 2D SOURCE ISS INTERNAL MULTIPLE ATTENUATOR (FAR OFFSET TRACE COMPARISON, 500M)
  • 39. ANALYSIS When the data comes from a 3D point source, the ISS internal multiple attenuation algorithm with a 2D line source assumption can make the prediction result significantly less effective. Incorporating a 3D source in the algorithm can improve its effectiveness within the current ISS internal-multiple attenuation algorithm. 39 0.42 0.43 0.44 0.45 0.46 0.47 0.48 Time (s) -0.004 -0.002 0 Amplitude 3D source data 2D source prediction 3D source prediction 3D source prediction (Asymptotic)
  • 40. MULTIPLE REMOVAL STRATEGY 40 Internal-multiple-removal New adaptive criterion Pre-requisites: Onshore (JingWu, 4:00pm, RM222) Three- pronged strategy Within the algorithm Beyond the algorithm Incorporate the source dimension (This presentation) Incorporate the radiation pattern (Jinlong Yang, 1:55pm) Spurious event removal (Chao Ma, 2:20pm) Elimination algorithm (Yanglei Zou, 2:45pm)
  • 41. KEY POINTS 41 The ISS internal-multiple prediction algorithm is the most capable method because it does not require subsurface information. This paper shows its value of improving the effectiveness of internal-multiple attenuator; it matters for the methods beyond the current ISS internal multiple attenuator. It is always important to incorporate the 3D source in the ISS internal multiple prediction. Incorporate the right source dimension
  • 42. 42