The Finite-Offset Common-Reflection-Surface (CRS) Stack: an - - PowerPoint PPT Presentation

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The Finite-Offset Common-Reflection-Surface (CRS) Stack: an - - PowerPoint PPT Presentation

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W I T The Finite-Offset Common-Reflection-Surface (CRS) Stack: an alternative stacking tool for subsalt imaging Steffen Bergler , Jrgen Mann, German Hcht, and Peter Hubral Wave Inversion Technology Geophysical Institute University of

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SLIDE 1

W I T

The Finite-Offset Common-Reflection-Surface (CRS) Stack: an alternative stacking tool for subsalt imaging

Steffen Bergler∗, Jürgen Mann, German Höcht, and Peter Hubral Wave Inversion Technology Geophysical Institute University of Karlsruhe, Germany

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.1

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SLIDE 2

W I T

Overview

Motivation

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.2

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SLIDE 3

W I T

Overview

Motivation Development of the CRS Stack

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.2

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SLIDE 4

W I T

Overview

Motivation Development of the CRS Stack Implementation

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.2

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SLIDE 5

W I T

Overview

Motivation Development of the CRS Stack Implementation Real data example

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.2

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SLIDE 6

W I T

Overview

Motivation Development of the CRS Stack Implementation Real data example Test of CO CRS on Sigsbee 2A data

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.2

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SLIDE 7

W I T

Overview

Motivation Development of the CRS Stack Implementation Real data example Test of CO CRS on Sigsbee 2A data Conclusions

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.2

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SLIDE 8

W I T

Motivation

3 4 5 6 7 8 9 10 Time [s] 5 10 15 20 25

  • ffset [kf]

Goal: Use far-offset reflections

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.3

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SLIDE 9

W I T

Motivation

3 4 5 6 7 8 9 10 Time [s] 5 10 15 20 25

  • ffset [kf]

Goal: Use far-offset reflections by CRS Stack

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.3

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SLIDE 10

W I T

Development of the CRS Stack

Multi-parameter moveout operators for data-driven stacking

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.4

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SLIDE 11

W I T

Development of the CRS Stack

Multi-parameter moveout operators for data-driven stacking 2-D zero-offset 3 parameters

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.4

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SLIDE 12

W I T

Development of the CRS Stack

Multi-parameter moveout operators for data-driven stacking 2-D zero-offset 3 parameters 2-D finite-offset 5 parameters

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.4

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SLIDE 13

W I T

Development of the CRS Stack

Multi-parameter moveout operators for data-driven stacking 2-D zero-offset 3 parameters 2-D finite-offset 5 parameters 3-D zero-offset 8 parameters

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.4

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SLIDE 14

W I T

Development of the CRS Stack

Multi-parameter moveout operators for data-driven stacking 2-D zero-offset 3 parameters 2-D finite-offset 5 parameters 3-D zero-offset 8 parameters 3-D finite-offset 13 parameters

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.4

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W I T

Implementation

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 xm [km] 0.2 0.4 h [km] 0.6 0.7 0.8 0.9 1 1.1 1.2 t [s]

Data volume . .

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.5

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SLIDE 16

W I T

Implementation

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 xm [km] 0.2 0.4 h [km] 0.6 0.7 0.8 0.9 1 1.1 1.2 t [s]

Data volume . .

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.6

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W I T

Implementation

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 xm [km] 0.2 0.4 h [km] 0.6 0.7 0.8 0.9 1 1.1 1.2 t [s]

Data volume . .

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.7

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W I T

Implementation

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 xm [km] 0.2 0.4 h [km] 0.6 0.7 0.8 0.9 1 1.1 1.2 t [s]

Data volume ZO grid .

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.8

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SLIDE 19

W I T

Implementation

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 xm [km] 0.2 0.4 h [km] 0.6 0.7 0.8 0.9 1 1.1 1.2 t [s]

Data volume ZO grid ZO CRS

  • perator

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.9

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W I T

Implementation

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 xm [km] 0.2 0.4 h [km] 0.6 0.7 0.8 0.9 1 1.1 1.2 t [s]

Data volume CO grid CO CRS

  • perator

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.10

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SLIDE 21

W I T

Consequences

Approach is purely data-driven

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.11

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SLIDE 22

W I T

Consequences

Approach is purely data-driven Use of full multi-coverage data volume

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.11

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SLIDE 23

W I T

Consequences

Approach is purely data-driven Use of full multi-coverage data volume Each CRS stacked sample carries information

  • f

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.11

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SLIDE 24

W I T

Consequences

Approach is purely data-driven Use of full multi-coverage data volume Each CRS stacked sample carries information

  • f

Stacked amplitude

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.11

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SLIDE 25

W I T

Consequences

Approach is purely data-driven Use of full multi-coverage data volume Each CRS stacked sample carries information

  • f

Stacked amplitude CRS Stack attributes: Kinematic wavefield attributes

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.11

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SLIDE 26

W I T

Consequences

Approach is purely data-driven Use of full multi-coverage data volume Each CRS stacked sample carries information

  • f

Stacked amplitude CRS Stack attributes: Kinematic wavefield attributes Coherence value

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.11

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W I T

Real data example

0.5 1.0 1.5 2.0 Time [s] 50 100 150 200 250 300 CDP bin no. 0.5 1.0 1.5 2.0 Time [s] 50 100 150 200 250 300 CDP bin no.

3D NMO/DMO 3D ZO CRS

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.12

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W I T

Real data example

0.5 1.0 1.5 2.0 Time [s] 50 100 150 200 250 300 CDP bin no.

  • 2
  • 1

1 2 3

0.5 1.0 1.5 2.0 Time [s] 50 100 150 200 250 300 CDP bin no.

0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40

Curvature [1/km] Coherence

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.13

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W I T

Attributes

CRS Stack attributes have many applications: Macro-velocity inversion

  • Tu. 2.10 pm: Tomographic velocity model inversion using kinematic wavefield

attributes – E. Duveneck and P . Hubral, (IT 2.3) SEG 72nd Annual Meeting, Salt Lake City 2002 – p.14

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SLIDE 30

W I T

Attributes

CRS Stack attributes have many applications: Macro-velocity inversion

  • Tu. 2.10 pm: Tomographic velocity model inversion using kinematic wavefield

attributes – E. Duveneck and P . Hubral, (IT 2.3)

Accurate redatuming

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.14

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SLIDE 31

W I T

Attributes

CRS Stack attributes have many applications: Macro-velocity inversion

  • Tu. 2.10 pm: Tomographic velocity model inversion using kinematic wavefield

attributes – E. Duveneck and P . Hubral, (IT 2.3)

Accurate redatuming Projected Fresnel zone

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.14

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SLIDE 32

W I T

Attributes

CRS Stack attributes have many applications: Macro-velocity inversion

  • Tu. 2.10 pm: Tomographic velocity model inversion using kinematic wavefield

attributes – E. Duveneck and P . Hubral, (IT 2.3)

Accurate redatuming Projected Fresnel zone Geometrical spreading factor

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.14

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SLIDE 33

W I T

Attributes

CRS Stack attributes have many applications: Macro-velocity inversion

  • Tu. 2.10 pm: Tomographic velocity model inversion using kinematic wavefield

attributes – E. Duveneck and P . Hubral, (IT 2.3)

Accurate redatuming Projected Fresnel zone Geometrical spreading factor Wavefield separation

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.14

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SLIDE 34

W I T

Attributes

CRS Stack attributes have many applications: Macro-velocity inversion

  • Tu. 2.10 pm: Tomographic velocity model inversion using kinematic wavefield

attributes – E. Duveneck and P . Hubral, (IT 2.3)

Accurate redatuming Projected Fresnel zone Geometrical spreading factor Wavefield separation Model-independent time migration

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.14

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W I T

Sigsbee 2A data

10 20 Depth [kft] 20 40 60 80 Distance [kft]

Interval velocity model [kft/s]

6 8 10 12 14

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.15

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W I T

Sigsbee 2A data

Specific properties: Acoustic FD modeling of marine data Model and data courtesy of SMAART JV.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.16

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W I T

Sigsbee 2A data

Specific properties: Acoustic FD modeling of marine data No water-column related multiples Model and data courtesy of SMAART JV.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.16

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W I T

Sigsbee 2A data

Specific properties: Acoustic FD modeling of marine data No water-column related multiples But: internal multiples Model and data courtesy of SMAART JV.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.16

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W I T

Sigsbee 2A data

Specific properties: Acoustic FD modeling of marine data No water-column related multiples But: internal multiples Virtually no uncorrelated noise Model and data courtesy of SMAART JV.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.16

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SLIDE 40

W I T

Sigsbee 2A data

Specific properties: Acoustic FD modeling of marine data No water-column related multiples But: internal multiples Virtually no uncorrelated noise Strong variation of model complexity Model and data courtesy of SMAART JV.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.16

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W I T

Sigsbee 2A data

Specific properties: Acoustic FD modeling of marine data No water-column related multiples But: internal multiples Virtually no uncorrelated noise Strong variation of model complexity Two rows of diffractors included Model and data courtesy of SMAART JV.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.16

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W I T

Sigsbee 2A data

Normal rays

units in [kft] SEG 72nd Annual Meeting, Salt Lake City 2002 – p.17

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W I T

Sigsbee 2A data

CO rays (offset 25 kft)

units in [kft] SEG 72nd Annual Meeting, Salt Lake City 2002 – p.18

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W I T

Sigsbee 2A data

3 4 5 6 7 8 9 10 Time [s] 5 10 15 20 25

  • ffset [kft]

CMP gather at 32487.5 ft

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.19

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SLIDE 45

W I T

Sigsbee 2A data

4 5 6 7 8 9 10 11 12 Time [s] 30 40 50 60 70 Midpoint [kft]

CO CRS stack

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.20

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W I T

Sigsbee 2A data

2 3 4 5 6 7 8 9 10 Time [s] 30 40 50 60 70 Midpoint [kft]

ZO CRS stack

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.20

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W I T

Observations

Subsalt energy at far-offset imaged

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.21

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W I T

Observations

Subsalt energy at far-offset imaged All reflection energy of data volume useable

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.21

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SLIDE 49

W I T

Observations

Subsalt energy at far-offset imaged All reflection energy of data volume useable Depth migration of CO CRS Stack section yields additional information to depth migration

  • f ZO CRS Stack section

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.21

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W I T

Conclusions

The data-driven CRS Stack has: High signal-to-noise ratio

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.22

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SLIDE 51

W I T

Conclusions

The data-driven CRS Stack has: High signal-to-noise ratio Improved continuity of events

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.22

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W I T

Conclusions

The data-driven CRS Stack has: High signal-to-noise ratio Improved continuity of events High vertical and horizontal resolution

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.22

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W I T

Conclusions

The data-driven CRS Stack has: High signal-to-noise ratio Improved continuity of events High vertical and horizontal resolution Kinematic wavefield attributes

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.22

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W I T

Conclusions

CO CRS Stack: Local description of reflection events by hyperboloids at common-offset

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.23

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W I T

Conclusions

CO CRS Stack: Local description of reflection events by hyperboloids at common-offset Converted waves

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.23

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W I T

Conclusions

CO CRS Stack: Local description of reflection events by hyperboloids at common-offset Converted waves Reflections with non-hyperbolic moveouts manageable

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.23

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SLIDE 57

W I T

Conclusions

CO CRS Stack: Local description of reflection events by hyperboloids at common-offset Converted waves Reflections with non-hyperbolic moveouts manageable Complicated subsalt reflections manageable

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.23

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W I T

Acknowledgments

W I T This work was supported by the sponsors of the Wave Inversion Technology Consortium.

SEG 72nd Annual Meeting, Salt Lake City 2002 – p.24