Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah...

28
osscorrelation Migratio osscorrelation Migratio f Free-Surface Multiple f Free-Surface Multiple in CDP Data in CDP Data Jianming Sheng Jianming Sheng University of Utah University of Utah February, 2001 February, 2001
  • date post

    20-Jan-2016
  • Category

    Documents

  • view

    215
  • download

    0

Transcript of Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah...

Page 1: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Crosscorrelation Migration Crosscorrelation Migration of Free-Surface Multiples of Free-Surface Multiples

in CDP Datain CDP Data

Jianming ShengJianming Sheng

University of UtahUniversity of UtahFebruary, 2001February, 2001

Page 2: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

OutlineOutline• ObjectiveObjective

• Crosscorrelation migrationCrosscorrelation migration

• Numerical examplesNumerical examples

• SummarySummary

Page 3: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

ObjectiveObjectiveTo image free-surface multiplesTo image free-surface multiplesby crosscorrelation migration;by crosscorrelation migration;

To improve the migration imageTo improve the migration imagequality by attenuating the quality by attenuating the artifacts caused by free-surface artifacts caused by free-surface multiples.multiples.

Page 4: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

OutlineOutline• ObjectiveObjective

• Crosscorrelation migrationCrosscorrelation migration

• Numerical examplesNumerical examples

• SummarySummary

Page 5: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Principle of CCMPrinciple of CCMG’ GS

X

X’

VIRTUALSOURCE

(CROSSCORRELATION)

G’ GS

X

X’

SOURCE

GG

G’ GS

X

X’

SOURCE

PP

Page 6: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Principle of CCMPrinciple of CCM

xm

Migration imageMigration image

Trial image pointTrial image point

xGxGie '

Imaging ConditionImaging Condition

Page 7: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Asymptotic AnalysisAsymptotic Analysis

xm

xGxGGG '''G

G

S

CrosscorrelogramsCrosscorrelograms

Page 8: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Asymptotic AnalysisAsymptotic Analysis

xmUnder stationary phase conditionUnder stationary phase condition

PPrimaryrimary GGhosthost

Correct imageCorrect image ++ ArtifactsArtifacts

GGhosthost PPrimaryrimary PPrimaryrimaryPPrimaryrimary

GGhosthostGGhosthost3R4R

2R

NegligibleNegligible

Wrong positonWrong positon

Page 9: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Asymptotic AnalysisAsymptotic AnalysisCrosscorrelation migration can Crosscorrelation migration can migrate the multiples to the migrate the multiples to the correct position but generate correct position but generate artifacts as well;artifacts as well;

CCM image alone can not give theCCM image alone can not give thereflectivity distribution!reflectivity distribution!

Page 10: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Key Idea of CCMKey Idea of CCMCCM ImageCCM Image Kirchhoff ImageKirchhoff Image

ReflectorReflector

ArtifactsArtifacts

ArtifactsArtifacts

Page 11: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Key Idea of CCMKey Idea of CCM

Multiplying the Multiplying the two images an two images an improved improved migration migration image can be image can be obtainedobtained

Page 12: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

OutlineOutline• ObjectiveObjective

• Crosscorrelation migrationCrosscorrelation migration

• Numerical examplesNumerical examples

• SummarySummary

Page 13: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Numerical ExamplesNumerical Examples

• Three-layered modelThree-layered model

• Nine-layered modelNine-layered model

• SEG/EAGE salt modelSEG/EAGE salt model

Page 14: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Three-Layered ModelThree-Layered Model

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

100 200 300 400 500100 200 300 400 500 100 200 300 400 500100 200 300 400 500

ModelModel CCM ImageCCM Image

Page 15: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Three-Layered ModelThree-Layered Model

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

100 200 300 400 500100 200 300 400 500 100 200 300 400 500100 200 300 400 500

Kirchhoff ImageKirchhoff Image Product ImageProduct Image

Page 16: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Nine-Layered ModelNine-Layered Model

500 1000 1500 2000 2500500 1000 1500 2000 2500

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

24002400

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

24002400

ModelModel CCM imageCCM image

500 1000 1500 2000 2500500 1000 1500 2000 2500

Page 17: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Nine-Layered ModelNine-Layered Model

500 1000 1500 2000 2500500 1000 1500 2000 2500

00

600600

12001200

18001800

30003000

Dep

th (

m)

Dep

th (

m)

24002400

Kirchhoff ImageKirchhoff Image Product ImageProduct Image

500 1000 1500 2000 2500500 1000 1500 2000 2500

Page 18: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

SEG/EAGE Salt ModelSEG/EAGE Salt Model

00

600600

12001200

18001800

24002400

Dep

th (

m)

Dep

th (

m)

30003000

36003600

0 5000 10000 150000 5000 10000 15000Distance (m)Distance (m)

320 shots320 shots176 traces per shot176 traces per shot

Page 19: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

CCM ImageCCM Image

00

600600

12001200

18001800

24002400

Dep

th (

m)

Dep

th (

m)

30003000

36003600

0 5000 10000 150000 5000 10000 15000Distance (m)Distance (m)

Page 20: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Kirchhoff ImageKirchhoff Image

00

600600

12001200

18001800

24002400

Dep

th (

m)

Dep

th (

m)

30003000

36003600

0 5000 10000 150000 5000 10000 15000Distance (m)Distance (m)

Page 21: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Product ImageProduct Image

00

600600

12001200

18001800

24002400

Dep

th (

m)

Dep

th (

m)

30003000

36003600

0 5000 10000 150000 5000 10000 15000Distance (m)Distance (m)

Page 22: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

All right, All right, multiples are migrated, multiples are migrated, … … well, is it useful?well, is it useful?

Yes.Yes.

Page 23: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Kirchhoff ImageKirchhoff Image

00

600600

12001200

18001800

24002400

Dep

th (

m)

Dep

th (

m)

30003000

36003600

0 5000 10000 150000 5000 10000 15000Distance (m)Distance (m)

Page 24: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Product ImageProduct Image

00

600600

12001200

18001800

24002400

Dep

th (

m)

Dep

th (

m)

30003000

36003600

0 5000 10000 150000 5000 10000 15000Distance (m)Distance (m)

Page 25: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

OutlineOutline• ObjectiveObjective

• Crosscorrelation migrationCrosscorrelation migration

• Numerical examplesNumerical examples

• SummarySummary

Page 26: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

SummarySummary• Multiples can be considered as signal and correctly Multiples can be considered as signal and correctly

imaged by the crosscorrelation migration;imaged by the crosscorrelation migration;

• By multiplying the crosscorrelation and Kirchhoff By multiplying the crosscorrelation and Kirchhoff

migration images, the true reflectors can be migration images, the true reflectors can be

enhanced and the artifacts can be attenuated.enhanced and the artifacts can be attenuated.

Page 27: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

Further WorkFurther Work• To attenuate the artifacts generated by To attenuate the artifacts generated by

CCM;CCM;

• To deal with the high-order multiples and To deal with the high-order multiples and

internal multiples.internal multiples.

Page 28: Crosscorrelation Migration of Free-Surface Multiples in CDP Data Jianming Sheng University of Utah February, 2001.

AcknowledgmentAcknowledgment

I thank the sponsors of the 2000 University I thank the sponsors of the 2000 University of Utah Tomography and Modeling of Utah Tomography and Modeling /Migration (UTAM) Consortium for their /Migration (UTAM) Consortium for their financial support .financial support .