angle-domain parameters computed via weighted slant-stack
DESCRIPTION
Angle-domain parameters computed via weighted slant-stack. Claudio GuerraSEP-131. Motivation. Post migration processes in the reflection-angle domain migration-velocity analysis residual multiple attenuation AVA regularization of the least-squares inverse imaging - PowerPoint PPT PresentationTRANSCRIPT
Angle-domain parameters computed via weighted slant-stack
Claudio Guerra SEP-131
Motivation
• Post migration processes in the reflection-angle domain – migration-velocity analysis
– residual multiple attenuation
– AVA
– regularization of the least-squares inverse imaging
• Compensate for illumination problems in ADCIGs
Outline
• Introduction
• Weighted OFF2ANG
• Results
• Conclusions
Introduction
• SEP125 - Valenciano and Biondi– Compute the Hessian in the angle domain by chaining operators T*, H
and T.
S(m) = ½||Lmh – dobs||2 = ½||LTm– dobs||2
2S(m)/m2 = T*L*LT
H(x,; x’,’) = T*(,h) H(x,h; x’,h’) T(,h)
H(x,; x’,’) – angle-domain Hessian H(x,h; x’,h’) – offset-domain Hessian m – ADCIG mh – SODCIGT(,h) – angle-to-offset transformation T*(,h) – offset-to-angle transformationL – modeling operator L* - migration
angle-10 60
Introduction
• SEP125 - Valenciano and Biondi– “The Hessian ... in the angle dimension lacks of resolution to be able
to interpret which angles get more illumination.”
offset-1200 1200
dept
h
offset-1200 1200
angle-10 60
dept
h
Weighted OFF2ANG
• Assymptotic approximation of Kirchhoff Migration– Main contribution comes from the vicinity of the stationary point
• Bleistein(1987) and Tygel et.al(1993)– migration with two different weights
– division of the migrated images
t
z
M(x,z)
x – *
N(*,t)
Weighted OFF2ANG – phase behavior
Slant – stack
Q – ADCIG P – SODCIG – stacking linef (z) – wavelet zr – reflector A – amplitude h – subsurface offset – reflection angle – rho filter
Weighted OFF2ANG – phase behavior
Slant – stack
Q – ADCIG – phase functionf (z) – wavelet A – amplitude h* – stationary offset – reflection angle
Weighted OFF2ANG
Weighted Slant – stack
– ADCIG – phase functionf (z) – wavelet A – amplitude h* – stationary offset – reflection angle
Results
Sigsbee2b
dep
th
cmp
Results – Input dataoffset
-1200 1200de
pth
offset-1200 1200
SODCIG Diagonal of the Hessian
Results –ADCIGsangle
-10 60angle
-10 60angle
-10 60
dep
th
angle-10 60
angle-10 60
angle-10 60
dep
th
dep
th
angle-10 60
angle-10 60
angle-10 60
Maindiagonal
Results – Angle sections15o 30o 40o
dep
th
cmp cmp
dep
th
cmp cmp
dep
th
cmp cmp
dep
th
cmp
dep
th
cmp
dep
th
cmp
Maindiagonal
Results – Amplitude correction
angle-10 60
angle-10 60
angle-10 60
dep
th
angle-10 60
angle-10 60
angle-10 60
dep
th
Maindiagonal
Results – Amplitude correction
15º angle section
dept
h
cmp cmp cmp
dept
h
cmp cmp cmp
30º angle section
dept
h
cmp cmp cmp
45º angle section
Maindiagonal
Results – Amplitude correctiond
epth
cmp cmp
Angle stack
Main diagonal 5th off-diagonal
Results – 0o Off-diagonals d
epth
cmp cmpcmp cmp
15th off-diagonal
Main diagonal 5th off-diagonal
Results – 15º Off-diagonals d
epth
cmp cmpcmp cmp
15th off-diagonal
Conclusions
• Alternative approach to transform the Hessian to the angle domain
• Well balanced ADCIGs– Better angle-stack
• Off-diagonal terms– Still no direct application