Standard Migration:Standard Migration: mmmigmig=L=LTTdd
d=LmForward Model:Forward Model:
m =[Lm =[LTTL]L]-1-1LLTTddLeast Sq. Migration :Least Sq. Migration :
m =[Lm =[LTTL]L]-1-1m m migmig
Migration Decon:Migration Decon: 3D input3D input
5D input5D input
**
Motivation: Poor IlluminationMotivation: Poor Illumination
gg
SALTSALT
Uneven Illumination under SaltUneven Illumination under Salt
Motivation: Better ResolutionMotivation: Better Resolution
Beylkin
FFD MD
Gaussian Beam MD Kirchhoff MD
Kirchhoff Mig
Kirchhoff MDX (km)0
3
Y (km)
0
3
3
Y (km)
0
3
Y (km)
0 Kirchhoff MD
Kirchhoff Mig
Meandering Stream
Motivation: Better ResolutionMotivation: Better Resolution
Kirchhoff MD
Step 1:Step 1:
Step 2:Step 2:
Step 3:Step 3:
Step 4:Step 4:
Iterative Least Squares MigrationIterative Least Squares Migration
1. LSM resolution twice better than KM 1. LSM resolution twice better than KM
Summary
2. LSM >20 times more expensive than KM2. LSM >20 times more expensive than KM
3. LSM sensitive to accurate v(x,z)3. LSM sensitive to accurate v(x,z)
4. Multisource LSM costs same as KM4. Multisource LSM costs same as KM
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