+ All Categories
Home > Documents > DMO Deconvolution

DMO Deconvolution

Date post: 31-Jan-2016
Category:
Upload: burke
View: 68 times
Download: 0 times
Share this document with a friend
Description:
DMO Deconvolution. Progress Report. M. Zhou & Jianxing Hu. Geology and Geophysics Department University of Utah. Outline. Objective Methodology Numerical Results Point Scatterer Model SEG/EAGE overthrust Model Conclusions. Objective. Eliminate DMO artifacts. - PowerPoint PPT Presentation
Popular Tags:
22
DMO Deconvolution M. Zhou & Jianxing M. Zhou & Jianxing Hu Hu Geology and Geophysics Department Geology and Geophysics Department University of Utah University of Utah Progress Report Progress Report
Transcript
Page 1: DMO Deconvolution

DMO Deconvolution

M. Zhou & Jianxing HuM. Zhou & Jianxing Hu

Geology and Geophysics Department Geology and Geophysics Department University of UtahUniversity of Utah

Progress ReportProgress Report

Page 2: DMO Deconvolution

OutlineOutline ObjectiveObjective• MethodologyMethodology• Numerical ResultsNumerical Results Point Scatterer ModelPoint Scatterer Model

SEG/EAGE overthrust ModelSEG/EAGE overthrust Model

• ConclusionsConclusions

Page 3: DMO Deconvolution

ObjectiveObjective

Eliminate DMO artifactsEliminate DMO artifacts

Page 4: DMO Deconvolution

OutlineOutline

• ObjectiveObjective MethodologyMethodology• Numerical ResultsNumerical Results• ConclusionsConclusions

Page 5: DMO Deconvolution

DMO ProcessDMO Process

(x-h,0)(x-h,0)

DMO SmileDMO Smile

Prestack Prestack migration ellipsemigration ellipse

DMO ellipseDMO ellipse

(x,0)(x,0) (x+h,0)(x+h,0)

t t oror z z

tt

Page 6: DMO Deconvolution

DMO Artifacts In COGDMO Artifacts In COG

Point in Point in DMO (ZO) sectionDMO (ZO) section

DMO ellipseDMO ellipseDMO impusle DMO impusle

responseresponse

DMO artifactsDMO artifacts

Page 7: DMO Deconvolution

DMO Impulse Response FunctionDMO Impulse Response Function

DMO Data = True ZO DMO Data = True ZO ** IRF IRF

True ZO = DMO Data True ZO = DMO Data ** (IRF) (IRF)-1-1

convolutionconvolution**

Page 8: DMO Deconvolution

DMO DeconvolutionDMO Deconvolution

Point in Point in True ZO sectionTrue ZO section

DMO impusle DMO impusle responseresponse

DMO sectionDMO section

(IRF) (IRF) -1-1 = =**

Page 9: DMO Deconvolution

DMO DeconvolutionDMO Deconvolution

Event in Event in DMO (ZO) sectionDMO (ZO) section

DMO SectionDMO Section

Event afterEvent afterDMO DeconvolutionDMO Deconvolution

Deconvolved DMODeconvolved DMOTrue ZO sectionTrue ZO section

DMO DeconDMO Decon

Page 10: DMO Deconvolution

OutlineOutline

• ObjectiveObjective• MethodologyMethodology Numerical ResultsNumerical Results Point Scatterer ModePoint Scatterer Mode SEG/EAGE Overthrust ModelSEG/EAGE Overthrust Model

• ConclusionsConclusions

Page 11: DMO Deconvolution

Point Scatterer ModelPoint Scatterer ModelD

epth

(K

m)

Dep

th (

Km

)X(m)X(m)

00

2.52.5

5.05.0

7.57.5

10.0 10.0

500500 2500250015001500

Constant velocity of 5 Km/sConstant velocity of 5 Km/s

Page 12: DMO Deconvolution

Point Scatterer DataPoint Scatterer Data

00

0.50.5

1.01.0

1.51.5

2.02.0

Tim

e (s

ec)

Tim

e (s

ec)

X(m)X(m)500500 2500250015001500

Synthetic ZO DataSynthetic ZO Data

X(m)X(m)500500 2500250015001500

Stacked DMO DataStacked DMO Data

X(m)X(m)500500 2500250015001500

Stacked & Deconvolved DataStacked & Deconvolved Data

Page 13: DMO Deconvolution

Point Scatterer DataPoint Scatterer Data

00

0.50.5

1.01.0

1.51.5

2.02.0

Tim

e (s

ec)

Tim

e (s

ec)

X(m)X(m)500500 2500250015001500

Point Scatterer ModelPoint Scatterer Model

X(m)X(m)500500 2500250015001500

KM Migration Image ofKM Migration Image of Stacked DMO DataStacked DMO Data

X(m)X(m)500500 2500250015001500

KM Migration Image of KM Migration Image of Stacked & Deconvolved DataStacked & Deconvolved Data

Page 14: DMO Deconvolution

OutlineOutline

• ObjectiveObjective• MethodologyMethodology Numerical ResultsNumerical Results Point Scatterer ModePoint Scatterer Mode SEG/EAGE Overthrust ModelSEG/EAGE Overthrust Model

• ConclusionsConclusions

Page 15: DMO Deconvolution

X (Km)X (Km)

0.50.5

1.01.0

1.51.5

2.02.0

2.52.5

5.05.0 10.010.0 15.015.0

Tim

e (s

ec)

Tim

e (s

ec)

Synthetic Zero-offset DataSynthetic Zero-offset Data

SEG/EAGE Overthrust DataSEG/EAGE Overthrust Data

Page 16: DMO Deconvolution

X (Km)X (Km)

0.50.5

1.01.0

1.51.5

2.02.0

2.52.5

5.05.0 10.010.0 15.015.0

Tim

e (s

ec)

Tim

e (s

ec)

Stacked DMO DataStacked DMO Data

SEG/EAGE Overthrust DataSEG/EAGE Overthrust Data

Page 17: DMO Deconvolution

X (Km)X (Km)

0.50.5

1.01.0

1.51.5

2.02.0

2.52.5

5.05.0 10.010.0 15.015.0

Tim

e (s

ec)

Tim

e (s

ec)

Stacked & Deconvolved DMO DataStacked & Deconvolved DMO Data

SEG/EAGE Overthrust DataSEG/EAGE Overthrust Data

Page 18: DMO Deconvolution

X (Km)X (Km)

0.50.5

1.01.0

1.51.5

2.02.0

2.52.5

5.05.0 10.010.0 15.015.0

Tim

e (s

ec)

Tim

e (s

ec)

Synthetic Zero-offset DataSynthetic Zero-offset Data

SEG/EAGE Overthrust DataSEG/EAGE Overthrust Data

Page 19: DMO Deconvolution

OutlineOutline

• ObjectiveObjective• MethodologyMethodology• Numerical ResultsNumerical Results ConclusionsConclusions

Page 20: DMO Deconvolution

ConclusionsConclusions

• Decrease DMO artifacts;Decrease DMO artifacts;

• Improve the quality of DMO image;Improve the quality of DMO image;

• Improve the resolution of poststack Improve the resolution of poststack

image.image.

DMO deconvolution can:DMO deconvolution can:

Page 21: DMO Deconvolution

Future WorkFuture Work

Test on 2-D field dataTest on 2-D field data

Apply to 3-D dataApply to 3-D data

Decrease computational costDecrease computational cost

Page 22: DMO Deconvolution

AcknowledgementsAcknowledgements

I am grateful for the financial I am grateful for the financial support from the members of support from the members of the 2000 UTAM consortium.the 2000 UTAM consortium.


Recommended