Transcript Document

Prestack depth migration in angle-domain using beamlet decomposition: Local image matrix and local AVA

Ru-Shan Wu and Ling Chen

Modeling and Imaging Laboratory/IGPP University of California, Santa Cruz ------------------------------------------------------ † Presently at Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China

Outline

    

Beamlet decomposition: Wave field in angle-domain Local image matrix and local scattering matrix Effect of acquisition aperture Local AVA: Preliminary tests Conclusion

True-reflection imaging in angle-domain

• • • Preserving the relative amplitudes of scattered waves w.r.t. incident waves.

Benefits:

Improve image (

total strength image)

quality, especially for steep reflectors.

Reduce artifacts

(angle-domain filtering)

.

Provide basis for local AVA and local inversion

True-amplitude imaging in angle-domain

• • • • • Amplitude corrections ( for ray theory see Hubral et al., Bleistein et al., Xu et al., Audebert et al., ……):

Transmission loss

( boundary reflection and scattering)

Geometric spreading

( for ray method )

Nonuniform information distribution

: Jacobian ( Beylkin determinant )

Acquisition aperture effects

( hit-count for ray method)

Intrinsic attenuation

( Anelasticity )

True-reflection imaging in angle-domain for wave-equation based methods

• • • Preserving the relative amplitudes of scattered waves w.r.t. incident waves:

Nonuniform information distribution

: Jacobian

Acquisition aperture effects

(in angle-domain) (including the geometric spreading and hit-count for ray method)

Transmission and anelastic losses

are less important, especially for small-angle reflections

Beamlet decomposition of the wavefield:

u

u z

  

n m



n m u z u

, 

x n

~

b mn

, 

m b mn

b mn

where ~

b mn

(

x

,

z

) ----- decomposition vectors (atoms),

u b mn

z x

(

n x

, , 

z m

)  ----- reconstruction vectors (atoms), ----- coefficients of the decomposition atoms,

x

n m

 

n

m

 

x

----- window location, ----- local wavenumber .

Windowed plane waves

G-D frame atoms

g mn

e i

m x g

x

x n

 is a Windowed Plane wave

(each beamlet is a windowed plane wave)

Local plane waves

Local plane wave

: a

superposition of windowed plane waves

of the same local wavenumber from all neighboring windows : Partial reconstruction of wavefield (mixed domain wavefield: local phase–space):

u

x

,

z

, 

j

,   

e i

j x

l g

x

 The corresponding propagating angle:

x l

u z

x l

, 

j

,   

j

 cos  1  

j

v

   

Source

**

Receiver High-velocity body Local Scattering Matrix

S

( 

in

, 

sc

) 

sc

 Target area 

in

                                  Local Image Matrix (includes aperture and propagation effects)

L

( 

in

, 

sc

)

shallow Point scatterer Planar reflector deep

Local image matrix in homogeneous medium (total 201 shots with 176 left-hand receivers )

Local image matrix:

image condition in

beamlet domain

and

mixed domain

 Forward-propagated source field:

u S

x

,

z

,    

j l u z S

x l

, 

j

,  

g jl

 Backward-propagated scattered field:

u R S

x

,

z

,    

p q u z R S

x q

, 

p

,  

g pq

Local image matrix

:

L a

  in ,  sc ,

x

,

z

,  0 2 cos  in cos  sc  

S

  

W a S

x

,  in ,

z

,   

R S W a R S

x

,  sc ,

z

,      Where

k

0 2  cos  in cos  sc  Serves as the Jacobian W s and W Rs are the wave fields in angle-domain by beamlet decomposition

Stacking over frequency to get the final image

I

 In the local angle-domain:  in ,  sc ,   Re 

d

e i v

 sin  in  sin  sc 

x L a

  in ,  sc ,

x

,

z

,   The final image in space domain:

I

   in  sc

I

  in ,  sc ,

x

,

z

Local Reflection Analysis (AVA):

For planar reflectors:

the local image matrix can be represented as:

I

  n ,  r ,

x

,

z

 with 

n

r

     

in in

   

sc sc

  2 2

CDAI (common dip-angle image) gathers Sum up all reflections for a common dip angle:

I

CDAI

 

n

,

x

,

gather

z

   

r I

 

n

, 

r

,

x

,

z

Obtain the dip-angle of the local reflectors from CDAI.

CRAI (common reflection-angle image) gathers Sum up reflected energy for a common reflection-angle for all possible dip-angles: CRAI.

Performing local AVA from CRAI gathers.

The calculation of local reflection coefficients:

R

 

r

,

x

,

z

  1

N

  

n I

 

n

, 

r

,

x

,

z

Local AVA for an oblique interface in homogeneous background

Local image matrices

at a point on the middle of dipping interface 14 ° obtained from 80 shots with a two-side receiver array (513 receivers). The dotted line corresponds to the theoretical prediction without aperture effect.

CDAI gathers for a local reflector at its central location Obtain the dip-angle of local reflectors from the CDAI gathers

Calculated reflection coefficients from CRAI gathers .

Angle-dependent reflection coefficients at the interface using 256 shots with 513 two-side detectors for the horizontal layered model with different velocity contrasts: (a) 10%; (b) 25%; (c) 50%; (d)150%

Dotted:

synthetic;

Red:

513 points two-sides

Blue:

257 points one-side;

Green:

129 points two-sides

Angle-dependent reflection coefficients at the interface obtained from LIM in case of 10% velocity contrast for the horizontal layered model

Local image matrix and the local scattering matrix

The

local image matrix

has the acquisition-aperture and propagation effects included. The purpose of the imaging/inversion is to recover the

real local scattering matrix coefficients

.

and obtain the local reflection

To achieve the true-reflection imaging, we need to

estimate the acquisition-aperture effect and apply the correction

.

Acquisition-Aperture Efficacy

(Effect of the source-receiver configuration) • • • Acquisition-Aperture Efficacy (AAE) Matrix Acquisition-Aperture Dip-response function Aperture corrections

Source

**

Receiver Overburden structures Assume scattering Coefficients as 1 

sc

 Target area 

in

                                  Acquisition-Aperture Efficacy: (includes propagation effects)

E

( 

in

, 

sc

)

Acquisition-aperture efficacy matrix

With unit impulses at both source and receivers, the local

acquisition-aperture efficacy matrix

is obtained as

:

E z

 

j

, 

p

,

x

,        

S l z

x l

, 

j

,

x S

,  

g

x

x l

 2   

q R S z

* 

x q

, 

p

,

x R S

,  

g

x

x q

 2    1 2 Where G’s are the Green’s functions in beamlet domain

Acquisition-aperture dip-response function

Acquisition-aperture dip-response

as a function of dip-angle of local interface (reflector), which reduce the AAE matrix into a vector:

E

  

z

n

,

x

,   

r E z

 

n

, 

r

,

x

,   with 

n

r

     

in in

   

sc sc

  2 2

Acquisition-Aperture Dip-Response

(Acquisition Configuration Response)

*

S3

*

S2

*

S1

image by common-shot prestack G-D migration Acquisition-Dip-Response (horizontal reflector) from all the 325 shots Acquisition-Dip-Response (45

down from horizontal) from all the 325 shots

G-D beamlet prestack migration image Acquisition-Dip Response for 45 o reflectors Improved image after Directional illumination correction

Conclusion

• • Local image matrix can be obtained from the local incident and scattered plane waves based on beamlet decomposition The goal of true-reflection imaging in angle-domain is to remove the acquisition aperture effect and propagation effect through directional illumination analysis and the corresponding corrections

Conclusion

(

continued

) • • • CDAI and CRAI gathers can be deduced from local image matrices (after corrections) CDAI gathers can be used to determine the dip-angles of local reflectors CRAI gathers can be used for local AVA analysis (and further for local inversion)

Acknowlegement

 We thank the support from WTOPI Research Consortium at UCSC  We thank the support from DOE Project at UCSC ___________________________________________ Welcome to visit our Consortium booth #2745