74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
A seismic reflection imaging workflow based on
the Common-Reflection-Surface (CRS) stack:
theoretical background and case study
T. Hertweck1 C. Jäger J. Mann*E. Duveneck2 Z. Heilmann
1now: Fugro-Robertson Ltd, Swanley, UK2now: SINTEF Petroleum Research, Trondheim, Norway
Wave Inversion Technology (WIT) ConsortiumGeophysical Institute, University of Karlsruhe (TH)
October 14, 2004
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Overview
Introduction
The project
Data example
Comparison
Conclusions
Acknowledgments
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Seismic imaging
Conventional Processing
e.g. NMO/DMO etc.
Structural Imaging & Further Analysis
Dep
thTi
me Data−driven Processing
e.g. ZO CRS stack
Prestack/Poststack time migration
Velocity updating
Kinematic wavefield
(CRS) attributes
Prestack depth
migration
Poststack depth
migration
Acquisition & Preprocessing
Estimation of macro model
yellow = tools developed at Karlsruhe University
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Seismic imaging
Conventional Processing
e.g. NMO/DMO etc.
Poststack depth
migration
Velocity updating
Kinematic wavefield
(CRS) attributes
Structural Imaging & Further Analysis
Dep
thTi
me Data−driven Processing
e.g. ZO CRS stack
Prestack depth
migration
Prestack/Poststack time migration
Acquisition & Preprocessing
Estimation of macro model
yellow = tools developed at Karlsruhe University
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-Reflection-Surface stack
I Alternative to standard NMO/DMO/stack approach
I Output: zero-offset section (2D) or volume (3D) ofhigh S/N ratio
I Additional output: variety of kinematic wavefieldattributes (so-called CRS attributes)
I Principle: generalized, high-density, multiparameter,multidimensional stacking velocity analysis tool
I Automated coherence-based application
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-Reflection-Surface stack
I Alternative to standard NMO/DMO/stack approach
I Output: zero-offset section (2D) or volume (3D) ofhigh S/N ratio
I Additional output: variety of kinematic wavefieldattributes (so-called CRS attributes)
I Principle: generalized, high-density, multiparameter,multidimensional stacking velocity analysis tool
I Automated coherence-based application
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-Reflection-Surface stack
I Alternative to standard NMO/DMO/stack approach
I Output: zero-offset section (2D) or volume (3D) ofhigh S/N ratio
(from Müller, "The Common Reflection Surface Stack Method", 1999)
I Additional output: variety of kinematic wavefieldattributes (so-called CRS attributes)
I Principle: generalized, high-density, multiparameter,multidimensional stacking velocity analysis tool
I Automated coherence-based application
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-Reflection-Surface stack
I Alternative to standard NMO/DMO/stack approach
I Output: zero-offset section (2D) or volume (3D) ofhigh S/N ratio
I Additional output: variety of kinematic wavefieldattributes (so-called CRS attributes)
I Principle: generalized, high-density, multiparameter,multidimensional stacking velocity analysis tool
I Automated coherence-based application
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-Reflection-Surface stack
I Alternative to standard NMO/DMO/stack approach
I Output: zero-offset section (2D) or volume (3D) ofhigh S/N ratio
I Additional output: variety of kinematic wavefieldattributes (so-called CRS attributes)
I Principle: generalized, high-density, multiparameter,multidimensional stacking velocity analysis tool
I Automated coherence-based application
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-Reflection-Surface stack
I Alternative to standard NMO/DMO/stack approach
I Output: zero-offset section (2D) or volume (3D) ofhigh S/N ratio
I Additional output: variety of kinematic wavefieldattributes (so-called CRS attributes)
I Principle: generalized, high-density, multiparameter,multidimensional stacking velocity analysis tool
I Automated coherence-based application
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Basic concepts
I second-order approximation of reflection events
I spatial stacking operator
I limited number of stacking parameters:first and second spatial derivatives of traveltime
I geometrical interpretation:propagation direction and curvatures of hypotheticalwavefronts
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Basic concepts
I second-order approximation of reflection events
I spatial stacking operator
I limited number of stacking parameters:first and second spatial derivatives of traveltime
I geometrical interpretation:propagation direction and curvatures of hypotheticalwavefronts
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Basic concepts
I second-order approximation of reflection events
I spatial stacking operator
I limited number of stacking parameters:first and second spatial derivatives of traveltime
I geometrical interpretation:propagation direction and curvatures of hypotheticalwavefronts
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Basic concepts
I second-order approximation of reflection events
I spatial stacking operator
I limited number of stacking parameters:first and second spatial derivatives of traveltime
I geometrical interpretation:propagation direction and curvatures of hypotheticalwavefronts
–1
0
1 2 3
S G
RN x0RNIP
0
1
α
Dep
th [k
m]
Distance [km]
v
v
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Applications of CRS attributes
I Automated, approximate, data-driven time migration
I Approximation of geometrical spreading factor
I Approximation of projected Fresnel zone➥ Optimization of limited-aperture (true-amplitude)
Kirchhoff depth migration
I Most important: attribute-based tomographicvelocity model determination (inversion)➥ Output: smooth macrovelocity model for depth
imaging
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Applications of CRS attributes
I Automated, approximate, data-driven time migration
I Approximation of geometrical spreading factor
I Approximation of projected Fresnel zone➥ Optimization of limited-aperture (true-amplitude)
Kirchhoff depth migration
I Most important: attribute-based tomographicvelocity model determination (inversion)➥ Output: smooth macrovelocity model for depth
imaging
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Applications of CRS attributes
I Automated, approximate, data-driven time migration
I Approximation of geometrical spreading factor
I Approximation of projected Fresnel zone➥ Optimization of limited-aperture (true-amplitude)
Kirchhoff depth migration
I Most important: attribute-based tomographicvelocity model determination (inversion)➥ Output: smooth macrovelocity model for depth
imaging
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Applications of CRS attributes
I Automated, approximate, data-driven time migration
I Approximation of geometrical spreading factor
I Approximation of projected Fresnel zone➥ Optimization of limited-aperture (true-amplitude)
Kirchhoff depth migration
I Most important: attribute-based tomographicvelocity model determination (inversion)➥ Output: smooth macrovelocity model for depth
imaging
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Applications of CRS attributes
I Automated, approximate, data-driven time migration
I Approximation of geometrical spreading factor
I Approximation of projected Fresnel zone➥ Optimization of limited-aperture (true-amplitude)
Kirchhoff depth migration
I Most important: attribute-based tomographicvelocity model determination (inversion)➥ Output: smooth macrovelocity model for depth
imaging
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Applications of CRS attributes
I Automated, approximate, data-driven time migration
I Approximation of geometrical spreading factor
I Approximation of projected Fresnel zone➥ Optimization of limited-aperture (true-amplitude)
Kirchhoff depth migration
I Most important: attribute-based tomographicvelocity model determination (inversion)➥ Output: smooth macrovelocity model for depth
imaging
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Synthesis of our imaging tools
CRS stack ✔
+ Attribute-based tomography ✔
+ (True-amplitude) Kirchhoff depth migration ✔
= CRS-stack-based imaging workflow ✔
I Consistent imaging workflow from prestack timedomain to depth domain
I Flexible, largely automated strategies
I Various useful auxiliary results
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Project definition
I Geothermal project: power station plannedI Seismic survey performed to
I image fractures and faults ☞ water flowI determine precise depth of target horizonI find best possible drilling location
I Subsurface structure in target region:I mainly horizontal layering, slightly dippingI many faults and fracturesI strong velocity contrast above target area
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Project definition
I Geothermal project: power station plannedI Seismic survey performed to
I image fractures and faults ☞ water flowI determine precise depth of target horizonI find best possible drilling location
I Subsurface structure in target region:I mainly horizontal layering, slightly dippingI many faults and fracturesI strong velocity contrast above target area
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Project definition
I Geothermal project: power station plannedI Seismic survey performed to
I image fractures and faults ☞ water flowI determine precise depth of target horizonI find best possible drilling location
I Subsurface structure in target region:I mainly horizontal layering, slightly dippingI many faults and fracturesI strong velocity contrast above target area
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Project definition
I Geothermal project: power station plannedI Seismic survey performed to
I image fractures and faults ☞ water flowI determine precise depth of target horizonI find best possible drilling location
I Subsurface structure in target region:I mainly horizontal layering, slightly dippingI many faults and fracturesI strong velocity contrast above target area
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Project definition
I Geothermal project: power station plannedI Seismic survey performed to
I image fractures and faults ☞ water flowI determine precise depth of target horizonI find best possible drilling location
I Subsurface structure in target region:I mainly horizontal layering, slightly dippingI many faults and fracturesI strong velocity contrast above target area
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Project definition
I Geothermal project: power station plannedI Seismic survey performed to
I image fractures and faults ☞ water flowI determine precise depth of target horizonI find best possible drilling location
I Subsurface structure in target region:I mainly horizontal layering, slightly dippingI many faults and fracturesI strong velocity contrast above target area
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Data acquisition
I 2 parallel seismic lines, 12 km length each
I Source: 3 vibrators, linear upsweep 12-100 Hz,source separation ∆s=50 m
I Receivers: ≈ 240 groups (12 geophones each),receiver group separation ∆r=50 m
I Recording time after deconvolution: 4 s;sampling interval: 2 ms
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Data acquisition
I 2 parallel seismic lines, 12 km length each
I Source: 3 vibrators, linear upsweep 12-100 Hz,source separation ∆s=50 m
I Receivers: ≈ 240 groups (12 geophones each),receiver group separation ∆r=50 m
I Recording time after deconvolution: 4 s;sampling interval: 2 ms
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Data acquisition
I 2 parallel seismic lines, 12 km length each
I Source: 3 vibrators, linear upsweep 12-100 Hz,source separation ∆s=50 m
I Receivers: ≈ 240 groups (12 geophones each),receiver group separation ∆r=50 m
I Recording time after deconvolution: 4 s;sampling interval: 2 ms
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Data acquisition
I 2 parallel seismic lines, 12 km length each
I Source: 3 vibrators, linear upsweep 12-100 Hz,source separation ∆s=50 m
I Receivers: ≈ 240 groups (12 geophones each),receiver group separation ∆r=50 m
I Recording time after deconvolution: 4 s;sampling interval: 2 ms
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
CRS stack: simulated ZO section
0
0.5
1.0
1.5
2.0
2.5
3.0
Tim
e [s
]
450 500 550 600 650 700 750 800CMP no.
horizontal extent ≈ 12 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Tomographic inversion: velocity model
0
1000
2000
3000
Dep
th [m
]
400 450 500 550 600 650 700 750 800CMP no.
2000
3000
4000
velo
city
[m/s
]
horizontal extent ≈ 12 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Kirchhoff poststack depth migration
500
1000
1500
2000
2500
3000
3500
Dep
th [
m]
450 500 550 600 650 700 750 800CMP no.
horizontal extent ≈ 12 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Kirchhoff prestack depth migration
500
1000
1500
2000
2500
3000
3500
Dep
th [
m]
450 500 550 600 650 700 750 800CMP no.
horizontal extent ≈ 12 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Common-image gathers
1
2
3
Dep
th [k
m]
1 2 3 4 5 6 7 8 9
CIG Location [km]
maximum offset ≈ 3000 m
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Preliminary structural interpretation
500
1000
1500
2000
2500
3000
3500
Dep
th [
m]
450 500 550 600 650 700 750 800CMP no.
horizontal extent ≈ 12 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Comparison to standard processing
I Largely automated processing
I Generally higher resolution of reflectors and faults,particularly in the target area
I Reliable depth location of reflectors, according towell data and other geological and geophysicalinformation
I Faults can be traced from near-surface to depths aslarge as 3 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Comparison to standard processing
I Largely automated processing
I Generally higher resolution of reflectors and faults,particularly in the target area
I Reliable depth location of reflectors, according towell data and other geological and geophysicalinformation
I Faults can be traced from near-surface to depths aslarge as 3 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Comparison to standard processing
I Largely automated processing
I Generally higher resolution of reflectors and faults,particularly in the target area
I Reliable depth location of reflectors, according towell data and other geological and geophysicalinformation
I Faults can be traced from near-surface to depths aslarge as 3 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Comparison to standard processing
I Largely automated processing
I Generally higher resolution of reflectors and faults,particularly in the target area
I Reliable depth location of reflectors, according towell data and other geological and geophysicalinformation
I Faults can be traced from near-surface to depths aslarge as 3 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Comparison to standard processing
I Largely automated processing
I Generally higher resolution of reflectors and faults,particularly in the target area
I Reliable depth location of reflectors, according towell data and other geological and geophysicalinformation
I Faults can be traced from near-surface to depths aslarge as 3 km
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Conclusions
I Workflow: from time to depth domain
I Successful application in recent exploration project
I Basis: CRS stack producing high quality stacksections and very useful attribute sections
I Subsequent application of tomographic inversionwith CRS attributes and Kirchhoff depth migration
I Various workflow extentions possible (finite-offsetCRS stack & inversion, static corrections,topography handling, AVO analysis, etc.)
I 3D software is available or under development
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Conclusions
I Workflow: from time to depth domain
I Successful application in recent exploration project
I Basis: CRS stack producing high quality stacksections and very useful attribute sections
I Subsequent application of tomographic inversionwith CRS attributes and Kirchhoff depth migration
I Various workflow extentions possible (finite-offsetCRS stack & inversion, static corrections,topography handling, AVO analysis, etc.)
I 3D software is available or under development
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Conclusions
I Workflow: from time to depth domain
I Successful application in recent exploration project
I Basis: CRS stack producing high quality stacksections and very useful attribute sections
I Subsequent application of tomographic inversionwith CRS attributes and Kirchhoff depth migration
I Various workflow extentions possible (finite-offsetCRS stack & inversion, static corrections,topography handling, AVO analysis, etc.)
I 3D software is available or under development
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Conclusions
I Workflow: from time to depth domain
I Successful application in recent exploration project
I Basis: CRS stack producing high quality stacksections and very useful attribute sections
I Subsequent application of tomographic inversionwith CRS attributes and Kirchhoff depth migration
I Various workflow extentions possible (finite-offsetCRS stack & inversion, static corrections,topography handling, AVO analysis, etc.)
I 3D software is available or under development
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Conclusions
I Workflow: from time to depth domain
I Successful application in recent exploration project
I Basis: CRS stack producing high quality stacksections and very useful attribute sections
I Subsequent application of tomographic inversionwith CRS attributes and Kirchhoff depth migration
I Various workflow extentions possible (finite-offsetCRS stack & inversion, static corrections,topography handling, AVO analysis, etc.)
I 3D software is available or under development
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Conclusions
I Workflow: from time to depth domain
I Successful application in recent exploration project
I Basis: CRS stack producing high quality stacksections and very useful attribute sections
I Subsequent application of tomographic inversionwith CRS attributes and Kirchhoff depth migration
I Various workflow extentions possible (finite-offsetCRS stack & inversion, static corrections,topography handling, AVO analysis, etc.)
I 3D software is available or under development
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Acknowledgments
This work was kindly supported by
I HotRock Erdwärmekraftwerk (EWK)Offenbach/Pfalz GmbH, Karlsruhe, Germany
I Deutsche Montan Technologie (DMT) GmbH,Essen, Germany
I the Federal Ministry for the Environment, NatureConservation and Nuclear Safety, Berlin, Germany
I the sponsors of the Wave Inversion Technology(WIT) Consortium, Karlsruhe, Germany
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
Related presentations
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SP 4.5 CRS imaging and tomography versusPreSDM: a case history in overthrustgeology
SP 4.6 CRS stack and redatuming for ruggedsurface topography: a synthetic dataexample
SP 4.8 3D focusing operator estimation usingsparse data
74th Annual MeetingSEG, Denver 2004
Hertweck et al.
IntroductionSeismic imagingCRS stackApplicationsSynthesis
The projectProject definitionData acquisition
Data exampleCRS stackInversionPostSDMPreSDMCIGInterpretation
Comparison
Conclusions
Acknowledgments
W I T
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