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Multi-source Least- squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

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Page 1: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Multi-source Least-squares Migration with Topography

Dongliang Zhang and Gerard SchusterKing Abdullah University of Science and Technology

Page 2: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Outline

Summary

TheoryUse ghost extrapolation to reduce stair-step diffractions from irregular surfaces

Numerical ExampleTests on Marmousi model and Foothills model

MotivationIrregular surface problems

Page 3: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Outline

Summary

TheoryUse ghost extrapolation to reduce stair-step diffractions from irregular surfaces

Numerical ExampleTests on Marmousi model and Foothills model

MotivationIrregular surface problems

Page 4: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Irregular Surface Problems

Datuming the data from irregular surface to flat surface

Motivation

Page 5: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Problem: Irregular Surface

Using Ghost extrapolation

Motivation

RTM migrates directly from the irregular surface

Air

Surface

Stair step

Subsurface

Solution: Ghost RTM

Page 6: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Outline

Summary

TheoryUse ghost extrapolation to reduce stair-step diffractions from irregular surfaces

Numerical ExampleTests on Marmousi model and Foothills model

MotivationIrregular surface problems

Page 7: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Least-squares Migration

𝐝=L𝐦f(m)+regularization term

g)

m𝒌+𝟏=m𝒌−𝜶 g𝒌

𝜶=(g𝒌)𝐓 g𝒌

(Lg𝒌)𝐓 Lg𝒌

Page 8: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Workflow of Multisource LSM with Topography

1. Forward modeling with topography to calculate the data residual

3. Update the reflectivity using the conjugate gradient method

2. Calculate gradient (RTM image) of data residual with topography

• Blended encoded shot gathers

Page 9: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Forward Modeling with Topography

Difficulty :

Implement free surface boundary condition

Calculate the pressure on the points near by the free surface

Acoustic equation:

2 2 2

2 2 2 2

1

0

P P P

x z v tP on the surface

Ghost point

Page 10: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Ghost Extrapolation

Zi,j

Zi-1,j

Zi-2,j

Zi+1,j

Zi+2,j

Surface

Zb

3 2P(z)=az +bz +cz+d

b

i-2,j i-2,j i-1,j i-1,j

i,j i,j

P(z )=P P(z )=P

P(z )=P P(z )=0

G Gi+1,j i+2,jP =P(Δz) P =P(2Δz)

1)i-2,j i-1,j i,j

G Gi+1,j i+2,j

2

2 2

1 4 5- P + P - P1

4 1+ P - P3 1

∂ P≈ (

∂z 2 3 2Δz 2

Taylor Series

Page 11: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Extrapolation in z direction Extrapolation in x direction

Ghost Extrapolation

2 2 2

2 2 2 2

1P P P

x z v t

Page 12: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Example of Dipping Surface

Surface Air

Surface

Stair step

Subsurface

0 X (km) 2

ZoomModel0

1.5

Z (

km

)

Page 13: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Mirror imageCommon Shot Gather

Pi-1,j

Pi-2,j

Pi+2,j=-Pi-2,j

Pi+1,j=-Pi-1,j

Air

Zero velocity layer

V=0

Subsurface

Air

Ghost extrapolation

0 X (km) 2

0

1.5

Z (

km

)

Page 14: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Zoom ViewsConventional method New method

Page 15: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Outline

Summary

TheoryUse ghost extrapolation to reduce stair-step diffractions from irregular surfaces

Numerical ExampleTests on Marmousi model and Foothills model

MotivationIrregular surface problems

Page 16: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

0 X (km) 2

Grids size: 201 x 400 dx=dz=5 m Peak Freq.: 25 Hz Shots: 200 Receiver: 400 Max difference of elevation: 180 m

Marmousi Model

0

1

Z (

km

)

0

1

V

(km

/s)

Page 17: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Migration Velocity

Reflectivity Model

Marmousi Model

0 X (km) 2

0

1

Z (

km

)

0

1

Z (

km

)

Ghost FD

0 X (km) 2

Common Shot Gather0

2

T (

s)

Page 18: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

0 X (km) 2

Ghost LSRTM Image

Ghost FD

Marmousi Model

Ghost FD Conventional FD

Conventional FD

LSRTM Image

RTM ImageGhost RTM Image

0 X (km) 2

0

1

Z (

km

)

0

1

Z (

km

)

Page 19: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Zoom Views

Ghost FD

Ghost LSRTM Image

Ghost FD Conventional FD

LSRTM Image

RTM ImageGhost RTM Image

Conventional FD

Page 20: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

0 X (km) 8

Grids size: 333 x 833 dx=dz=10 m Peak Freq.: 15 Hz Shots: 208 Receiver: 833 Max difference of elevation: 500 m

Foothills Model

0

3

Z (

km

)

0

6

V

(km

/s)

Page 21: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Migration Velocity

Reflectivity Model

0 X (km) 8 0 X (km) 2

Common Shot Gather

Ghost FD

Foothills Model

0

3

Z (

km

)

0

3

Z (

km

)

0

2

T (

s)

Page 22: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

0 X (km) 8

Ghost LSRTM Image

0 X (km) 8

LSRTM Image

Ghost FD

Ghost FD

Ghost RTM Image

Conventional FD

RTM Image

Conventional FD

Foothills Model

0

3

Z (

km

)

0

3

Z (

km

)

Page 23: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Ghost LSRTM Image LSRTM Image

Ghost FD

Ghost FD

Ghost RTM Image

Conventional FD

RTM Image

Conventional FD

Zoom Views

Page 24: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Summary• MLSM can produce high quality images efficiently:

MLSM with topography produces high quality image,

multi-source saves the computational time

Ghost extrapolation can reduce stair-step diffraction artifacts

• Future work:

Using 2D ghost extrapolation

Test on field data

High accuracy for the free surface boundary condition

Elastic

Page 25: Multi-source Least-squares Migration with Topography Dongliang Zhang and Gerard Schuster King Abdullah University of Science and Technology

Thank you!