an efficient multiscale method for time-domain waveform tomography c. boonyasiriwat 1, p. valasek 2,...
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An Efficient Multiscale Method for An Efficient Multiscale Method for Time-Domain Waveform TomographyTime-Domain Waveform Tomography
C. BoonyasiriwatC. Boonyasiriwat11, P. Valasek, P. Valasek22, P. Routh, P. Routh22,,W. CaoW. Cao11, G.T. Schuster, G.T. Schuster11, and B. Macy, and B. Macy22
11 Department of Geology and Geophysics, University of Utah Department of Geology and Geophysics, University of Utah22 Seismic Technology Development, ConocoPhillips Seismic Technology Development, ConocoPhillips
OutlineOutline
1
• IntroductionIntroduction
• Efficient multiscale waveform tomographyEfficient multiscale waveform tomography
• Synthetic data resultsSynthetic data results
• 1D Model1D Model
• 2D Model2D Model
• Field data resultsField data results
• ConclusionsConclusions
Cons:Cons:
Hamming window is a leaky, low-pass filter.Hamming window is a leaky, low-pass filter.
Arbitrary frequency bands were used.Arbitrary frequency bands were used.
2
IntroductionIntroduction
Pros and cons of the multiscale method proposed Pros and cons of the multiscale method proposed by Bunks et al. (1995):by Bunks et al. (1995):
Pros:Pros:
Partially overcome the local minima problem.Partially overcome the local minima problem.
OutlineOutline
3
• IntroductionIntroduction
• Efficient multiscale waveform tomographyEfficient multiscale waveform tomography
• Synthetic data resultsSynthetic data results
• 1D Model1D Model
• 2D Model2D Model
• Field data resultsField data results
• ConclusionsConclusions
4
Efficient Multiscale Waveform TomographyEfficient Multiscale Waveform Tomography
We propose:We propose:
• more efficient low-pass filtersmore efficient low-pass filters
• a strategy for choosing optimal frequency bandsa strategy for choosing optimal frequency bands
0 0.5 1 1.5 2-1
-0.5
0
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Time (s)
Am
plitu
de
a) Low-pass Filters in the Time Domain
0 10 20 30 40 50 6010
-10
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Frequency (Hz)
Spe
ctra
l Am
plitu
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b) Amplitude Spectra of Low-pass Filters
0 0.5 1 1.5 2-1
-0.5
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Time (s)
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plitu
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c) Original and Filtered Wavelets
0 10 20 30 40 50 6010
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Frequency (Hz)
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ctra
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plitu
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d) Amplitude Spectra of Original and Filtered Wavelets
Efficient Low-Pass FiltersEfficient Low-Pass Filters
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Hamming
Blackman-Harris
Ricker
Original
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Strategy for Choosing Optimal FrequenciesStrategy for Choosing Optimal Frequencies
Image from Sirgue and Pratt (2004)
Strategy for Choosing Optimal Frequency BandsStrategy for Choosing Optimal Frequency Bands
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0 0.05 0.1 0.15 0.2-0.5
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0.5
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Time (s)
Am
plitu
de
a) 15-Hz peak-frequency Ricker wavelet
0 10 20 30 400
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fmin
fmax
Frequency (Hz)
Am
plitu
de
b) Amplitude Spectrum of Ricker wavelet
Strategy for Choosing Optimal Frequency BandsStrategy for Choosing Optimal Frequency Bands
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OutlineOutline
9
• IntroductionIntroduction
• Efficient multiscale waveform tomographyEfficient multiscale waveform tomography
• Synthetic data resultsSynthetic data results
• 1D Model1D Model
• 2D Model2D Model
• Field data resultsField data results
• ConclusionsConclusions
1D Model1D Model
10Offset (km)
Tim
e (s
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b) Original Shot Gather
0 2 4
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Offset (km)
Tim
e (s
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c) Filtered Shot Gather
0 2 4
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0 0.5 1 1.5 22100
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2500a) 1D Velocity Model
Depth (km)
Vel
ocity
(m
/s)
0 0.5 1 1.5 2-100
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Depth (km)
Vel
ocity
Per
turb
atio
n (m
/s)
a) Velocity Perturbation in Space Domain
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Wavenumber (1/km)
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plitu
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b) Velocity Perturbation in Wavenumber Domain
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Depth (km)
Vel
ocity
Con
tribu
tion
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c) Velocity Contribution in Space Domain
0 10 20 300
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Wavenumber (1/km)
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plitu
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d) Velocity Contribution in Wavenumber Domain
1D Model1D Model
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2D Model2D Model
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Offset (km)
Tim
e (s)
b) Filtered Shot Gather
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0.5
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1.5
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Offset (km)
Depth
(km
)
a) 2D Velocity ModelVelocity (m/s)
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Offset (km)
Tim
e (s)
b) Original Shot Gather
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2D Model2D Model
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OutlineOutline
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• Goals of studyGoals of study
• Overview and introductionOverview and introduction
• Efficient multiscale waveform tomographyEfficient multiscale waveform tomography
• Synthetic data resultsSynthetic data results
• 1D Model1D Model
• 2D Model2D Model
• Field data resultsField data results
• ConclusionsConclusions
515 Shots480 Hydrophones
12.5 mdt = 2 msTmax = 10 s
1 1.5 2 2.5
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Offset (km)
Tim
e (s)
b) Original CSG 1
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Offset (km)Tim
e (s)
a) Virtual CSG 1
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Gulf of Mexico DataGulf of Mexico Data
Reconstructed VelocityReconstructed Velocity
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Kirchhoff Migration ImagesKirchhoff Migration Images
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Comparing CIGsComparing CIGs
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OutlineOutline
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• Goals of studyGoals of study
• Overview and introductionOverview and introduction
• Efficient multiscale waveform tomographyEfficient multiscale waveform tomography
• Synthetic data resultsSynthetic data results
• 1D Model1D Model
• 2D Model2D Model
• Field data resultsField data results
• ConclusionsConclusions
20
ConclusionsConclusions
• An efficient MWT method was developed.An efficient MWT method was developed.
• Increased efficiency is achieved by using Increased efficiency is achieved by using efficient low-pass filters and optimal frequency efficient low-pass filters and optimal frequency bands.bands.
• The strategy for choosing frequency bands was The strategy for choosing frequency bands was validated in both 1D and 2D synthetic model validated in both 1D and 2D synthetic model experiments.experiments.
• Marine data results are promising.Marine data results are promising.