Presentation is loading. Please wait.

Presentation is loading. Please wait.

Waveform tomography and non-linearity  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m.

Similar presentations


Presentation on theme: "Waveform tomography and non-linearity  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m."— Presentation transcript:

1 Waveform tomography and non-linearity  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m

2 Waveform tomography and non-linearity R. Gerhard Pratt 1,2 Fuchun Gao 2 Colin Zelt 2 Alan Levander 2 1 Queen’s University, Kingston, Ontario 2 Rice University, Houston, Tx

3 Traveltime (ray) tomography s

4 Wavefront healing 150 m 300 m Frequencies: 50 - 1000 Hz (Peak frequency 300 Hz) Velocities: 3000 m/s Small anomaly 500 m/s Large anomaly 2300 m/s Fresnel zone width  L  38 m (300 Hz) Wavelength  10 m

5 Waveform tomography U(r s,r g ) Scattered wavefield ω Frequency  s 2 ( r ) Scattering potential G(r,r') Free space Green’s Function (e.g., Wu and Toksöz, 1987)  s2(r) s2(r) ω

6 Waveform tomography  s2(r) s2(r) ω 150 m 300 m Frequency 300 Hz Wavelength = 10 m

7 Waveform tomography  s2(r) s2(r) ω 150 m 300 m Frequency 300 Hz Wavelength = 10 m

8 Waveform tomography “Seismic wavepath” (Woodward and Rocca, 1989, 1992) Fresnel zone width  L  38 m (300 Hz) 150 m 300 m  s2(r) s2(r) ω Frequency 300 Hz Wavelength = 10 m

9 Linearized forward problem (after discretization):  d = A  p ( p are the model “parameters”) For ray methods, A is a forward projection operator, d are the traveltimes. For waveforms, A is a forward propagation operator, d are the scattered arrivals. Practical inversion: linearization

10 Linearized forward problem (after discretization):  d = A  p Misfit functional E(p) =  d t  d Practical inversion: gradient scheme Gradient p E = A T  d A T is either a backprojection or backpropagation operator

11 Practical inversion: gradient scheme

12 Chequerboard models 150 m 300 m Fresnel zone width  L  38 m (300 Hz) 101 sources (3 m) 101 receivers (3 m) Dominant wavelength  10 m (300 Hz) Velocities: 2300 / 3000 m/s  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m

13 Model data: large anomalies 30 m Depth Time (ms)

14 Model data: medium anomalies 21 m Depth Time (ms)

15 Model data: small anomalies 10.5 m Depth Time (ms)

16 Traveltime results  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m

17 Wideband (50 - 500 Hz) waveform tomography results  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m

18 Wideband waveform tomography results: zoom view 3.35 3.00 2.65 2.30 1.95

19 Non-linearity

20 Misfit functional Low frequency Higher frequency

21 Narrow band (250 - 500 Hz) waveform tomography results  L  38 m N s = 101 N r = 101  10 m 30 m 10.5 m21 m

22 Combined results  L  38 m N s = 101 N r = 101  10 m 30 m 10.5 m21 m

23 Results with a random model (250 - 500 Hz)  L  40 m N s = 101 N r = 101 N  15  10 m 150 m 300 m True model Traveltime + Waveform tomography Waveform tomography True model Traveltime tomography + 400 m/s - 400 m/s

24 Conclusions Waveform tomography has far better resolution than traveltime tomography Waveform tomography has far better resolution than traveltime tomography Non-linear effects are critical Non-linear effects are critical Low frequencies help Low frequencies help


Download ppt "Waveform tomography and non-linearity  L  38 m N s = 101 N r = 101  10 m 30 m 21 m10.5 m."

Similar presentations


Ads by Google