extracting 20 0 hz information from 50 hz data

34
G. Schuster, S. Hanafy, and Y. Huang, Extracting 200 Hz Information from 50 Hz Data KAUST Rayleigh Resolution Profile Superresolution Profile Sinc function Spiking function

Upload: toby

Post on 24-Feb-2016

26 views

Category:

Documents


0 download

DESCRIPTION

Extracting 20 0 Hz Information from 50 Hz Data. G. Schuster, S. Hanafy , and Y. Huang, . KAUST. Sinc function. Spiking function. Rayleigh Resolution Profile. Superresolution Profile. Outline. Motivation: Why Resolution Matters Diffraction vs Specular Resolution: Example - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Extracting  20 0  Hz Information from 50 Hz Data

G. Schuster, S. Hanafy, and Y. Huang,

Extracting 200 Hz Information from 50 Hz Data

KAUSTRayleigh Resolution Profile Superresolution Profile

Sincfunction

Spikingfunction

Page 2: Extracting  20 0  Hz Information from 50 Hz Data

Outline• Motivation: Why Resolution Matters• Diffraction vs Specular Resolution: Example• Evanescence Resolution• Field Test • Conclusions

Page 3: Extracting  20 0  Hz Information from 50 Hz Data

Resolution Dx~l/2

L

Z

Δx

Depth

Rayleigh Resolution:

Abbe Resolution:

Super Resolution?:

Dx = lz 4L

Dx = l 2

Dx << l 2

Δx

KAUST yacht

Page 4: Extracting  20 0  Hz Information from 50 Hz Data

0 km 7 km

0 km

3 km

0 km 7 km

Geophysical Resolution

(Jianhua Yu)

?

Page 5: Extracting  20 0  Hz Information from 50 Hz Data

Transmission+Reflection Wavepaths(Woodward, 1992)

RTM Resolution: Dx=Rayleigh, Dz=l/4

RTM smile

FWI Resolution: ?

FWI rabbit ears

Z

X

d

Page 6: Extracting  20 0  Hz Information from 50 Hz Data

Transmission+Reflection Wavepaths(Woodward, 1992)

FWI Resolution:

FWI rabbit earsd

Z

X

FWI Resolution: Dx = 2ld (Williamson, 1991)

Page 7: Extracting  20 0  Hz Information from 50 Hz Data

3

Transmission+Reflection Wavepaths(Woodward, 1992)

FWI Resolution:

FWI rabbit ears

X

Diff. FWI Resolution: Dxdiff = ld

FWI Resolution: Dx = 2ld (Williamson, 1991) Dx Dxdiff

= 2

d

Benefit: Diffractions transformSSPXwell or VSP DataLiability: SNRdiff << SNRspec

Page 8: Extracting  20 0  Hz Information from 50 Hz Data

3

Summary

FWI rabbit ears

Diff. FWI Resolution: Dxdiff = ld vs Specular FWI Resolution: Dx =

Benefit: Diffractions transform SSPXwell or VSP DataLiability: SNRdiff << SNRspec

Page 9: Extracting  20 0  Hz Information from 50 Hz Data

Outline• Motivation: Why Resolution Matters• Diffraction vs Specular Resolution: Example• Evanescence Resolution• Field Test • Conclusions

Page 10: Extracting  20 0  Hz Information from 50 Hz Data

Diffraction Waveform Modeling

Born

Modeling

0 Distance (km) 3.8

0D

epth

(km

)1.

20

Dep

th (k

m)

1.2

0tim

e (s

)4.

0

0 Distance (km) 3.8

Velocity

Reflectivity

Scattered CSG

Page 11: Extracting  20 0  Hz Information from 50 Hz Data

Diffraction Waveform Inversion

0 Distance (km) 3.8

0D

epth

(km

)1.

20

Dep

th (k

m)

1.2

Initial Velocity

Estimated Reflectivity

0D

epth

(km

)1.

2

Inverted Velocity

0 Distance (km) 3.8

0D

epth

(km

)1.

2

True Velocity

Page 12: Extracting  20 0  Hz Information from 50 Hz Data

Outline• Motivation: Why Resolution Matters• Diffraction vs Specular Resolution: Example• Evanescence Resolution• Field Test • Conclusions

Page 13: Extracting  20 0  Hz Information from 50 Hz Data

Mig(z)

Far-field Propagation l-limited Resolutioneiwtxg

l

rG(g|x)=

Time

Page 14: Extracting  20 0  Hz Information from 50 Hz Data

Mig(z)

Near-field Propagation l/20 Resolutioneiwtxg

l

rG(g|x)=

Time

Note: Time delay unable todistinguish 2 scatterers, butnear-field amplitude changes can: Dx=l/20

Mig(z)

r Evanescent energy

Page 15: Extracting  20 0  Hz Information from 50 Hz Data

Near-field Propagation l/20 Resolutioneiwtxg

l

rG(g|x)=

Time

Note: Time delay unable todistinguish 2 scatterers, butnear-field amplitude changes can: Dx=l/20

Mig(z)

r Evanescent energy

If source is in farfield of scatterers& geophones in nearfield, superresolution possible

Page 16: Extracting  20 0  Hz Information from 50 Hz Data

Summary

lTime

Mig(z)

1. Near-field Propagation l/20 Resolution

If source is in nearfield of scatterers& geophones in farfield, superresolution possible

reciprocity

If source is in farfield of scatterers& geophones in nearfield, superresolution possible

Page 17: Extracting  20 0  Hz Information from 50 Hz Data

1. Near-field Propagation l/20 Resolution

Summary

lTime

Mig(z)

If source is in nearfield of scatterers& geophones in farfield, superresolution possible

reciprocity

If source is in farfield of scatterers& geophones in nearfield, superresolution possible

CRG

Page 18: Extracting  20 0  Hz Information from 50 Hz Data

Outline• Motivation: Why Resolution Matters• Diffraction vs Specular Resolution: Example• Evanescence Resolution• Field Test • Conclusions

Page 19: Extracting  20 0  Hz Information from 50 Hz Data

l

Near-Field Scatterer Images

l

Dx ~ 0.01l

ll

Dx ~ 0.1l

ll

Dx ~ 0.7l

Page 20: Extracting  20 0  Hz Information from 50 Hz Data

D z ~ 0.1l

ll

25 Near-Field Scatterers Image

Page 21: Extracting  20 0  Hz Information from 50 Hz Data

l

25 Near-Field Scatterers Image

Migration image at superresolution

Page 22: Extracting  20 0  Hz Information from 50 Hz Data

l

25 Near-Field Scatterers Image

Page 23: Extracting  20 0  Hz Information from 50 Hz Data

25 Near-Field Scatterers Image

Page 24: Extracting  20 0  Hz Information from 50 Hz Data

Vp=1.5 km/sVs=0.75 km/s

Vp=3.0 km/sVs=1.5 km/s

100 m

40 m

Elastic Tunnel Test: 6 Near-Field Scatterers

S wave

P wave

Page 25: Extracting  20 0  Hz Information from 50 Hz Data

Vp=1.5 km/sVs=0.75 km/s

Vp=3.0 km/sVs=1.5 km/s

100 m

Elastic Tunnel Test: 6 Near-Field Scatterers

S wave

P wave

40 m

No scatterer datascattered data

Page 26: Extracting  20 0  Hz Information from 50 Hz Data

Outline• Motivation: Why Resolution Matters• Diffraction vs Specular Resolution: Example• Evanescence Resolution• Field Test • Conclusions

Page 27: Extracting  20 0  Hz Information from 50 Hz Data

Experimental Setup(Not to Scale)Superresolution Test

Goal: Test superresolution imaging by seismic experiment

Experiment: Data with and without a scatterer

l=1.6 m

Page 28: Extracting  20 0  Hz Information from 50 Hz Data

Experimental Setup(Not to Scale)Superresolution Test

Goal: Test superresolution imaging by seismic experiment

Experiment: Data with and without a scatterer

0.2 m0.6 m

l=1.6 m

Page 29: Extracting  20 0  Hz Information from 50 Hz Data

TRM Profiles

Page 30: Extracting  20 0  Hz Information from 50 Hz Data

l/4 Resolution (110 Hz)

w/o scatterer0.5 m

with scatterer

l/8 Resolution (55 Hz)

with scatterer

0.5 m

220 Hz information from 55 Hz data

Theory

l

Page 31: Extracting  20 0  Hz Information from 50 Hz Data

Summary

• Workflow 1. Collect Shot gathers G(g|s ), separate scattered field 2. m(s’) = S G(g,t|s’)* G(g,t|s ) 3. TRM profiles

• Synthetic Results Dx~l/10

• Limitations Either src or rec in nearfield of subwavelength scatterer Scattered field separated from specular fields is Big Challenge

Diff. FWI Resolution: Dxdiff = ld vs Specular FWI Resolution: Dx =

Page 32: Extracting  20 0  Hz Information from 50 Hz Data

Possible Applications

VSP: Find local anomalies, faults, and scatterer points around boreholes in VSP data

Ground

Borehole

SSP: Detect local anomalies, faults, and scatterer points around surface

Farfield?

Page 33: Extracting  20 0  Hz Information from 50 Hz Data

Subduction zone

TRM Profile

Earthquakes along a Fault Detect Fault Roughness

Page 34: Extracting  20 0  Hz Information from 50 Hz Data

Subduction zone

Earthquakes US Array Detect Near Surface

TRM Profile