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PreStack Depth Migration (PSDM)

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Page 1: PreStack Depth Migration Shafini's Group

PreStack Depth Migration (PSDM)PreStack Depth Migration (PSDM)

Page 2: PreStack Depth Migration Shafini's Group

Where PSDM Stand?

PreStack Depth Migration

1. Demultiplex

2. Edit

3. F-K filtering

4. Sort

5. Elevation Statics

6. Deconvolution

7. NMO correction

8. Mute

9. Static corrections

10. Velocity analysis and stack

11. Additional F-K filtering

12. Filtering

13. Migration

14. Zero-phasing

15. Final filter for display

Typical Processing

PSDM

Page 3: PreStack Depth Migration Shafini's Group

Where PSDM Stand?

PreStack Depth Migration

Typical ProcessingPSDM

1. Demultiplex

2. Edit

3. F-K filtering

4. Sort

5. Elevation Statics

6. Deconvolution

7. NMO correction

8. Mute

9. Static corrections

10. Velocity analysis and stack

11. Additional F-K filtering

12. Filtering

13. Migration

14. Zero-phasing

15. Final filter for display

Page 4: PreStack Depth Migration Shafini's Group

PreStack Depth Migration

‣ A processing technique that moves seismic reflections to their correct locations in space.

‣ Critical in areas where there are significant and rapid lateral or vertical changes in velocity that distort images acquired in the time domain.

‣ Eg: The Gulf of Mexico and thrusted parts of the Rocky Mountains.

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Results of PSDM

PreStack Depth Migration

PSDM PSTM

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PreStack DepthMigration

PreStack Depth Migration

‣ PSDM is the current and cutting-edge method that is eagerly practiced

‣ The conventional method is PSTM

‣ PSDM is preferred as it can produce better quality image in complex structure (salt and fault complexity)

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PreStack Depth Migration Algorithms

Wavefield Extrapolation MigrationWavefield Extrapolation Migration

Kirchhoff PreStack Depth MigrationKirchhoff PreStack Depth Migration

Reverse Time Migration (RTM)Reverse Time Migration (RTM)

Common Azimuth Wavefield Extrapolation MigrationCommon Azimuth Wavefield Extrapolation Migration

Beam MigrationBeam Migration

Enhanced Migration Amplitude NormalisationEnhanced Migration Amplitude Normalisation

PreStack Depth Migration

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PreStack Depth MigrationPreStack Depth Migration

PSDM vs PSTMPSDM vs PSTM

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Prestack DEPTH migration Prestack TIME migration

• Done after PSTM• Has better imaging• More accurate• Can interpret complexity

structures • More interpretative

• Image is not clear enough• Better lateral resolution• Better coherency

PSDM is done after PSTM

Both needs high quality data

Comparison

PreStack Depth Migration

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PreStack Depth Migration

Midpoint (km) Midpoint (km)

PSTM PSDM

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PSTM using commercial processing system

PreStack Depth Migration

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Image of faults using PSDM

PreStack Depth Migration

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Over thrust model of PSTM

PreStack Depth Migration

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Over thrust model of PSDMPreStack Depth Migration

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PSTM PSDM

PreStack Depth Migration

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PreStack Depth Migration

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Advantages of PSDM

✓ Can be used at complex subsurface.

✓ Precise and accurate seismic solution.

✓ Clear expressions/images.

✓ Reduce structures positioning errors.

PreStack Depth Migration

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Disadvantages of PSDM

๏ More expensive compared to others.

๏ Time consuming.

๏ Sometimes cannot handle any reliable amplitude data.

๏ Requires a good geologically velocity model.

๏ Results are not really representative in highly complex tectonic.

PreStack Depth Migration

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PreStack Depth MigrationPreStack Depth Migration

Reverse TimeMigration

Reverse TimeMigration

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Pre-Stack Reverse Time Depth Migration

✓ Aims to construct an image of subsurface from reflection image recording

✓ Base on full wave seismic modelling on numerical grid.

✓ Made up 2 processes :+ seismic forward modelling+ reverse time modelling of shot record (time sample ➔ model scheme at their respective position as boundary condition)

PreStack Depth Migration

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QuickTime™ and aH.264 decompressor

are needed to see this picture.

PreStack Depth Migration

Reverse Time Depth Migration Model

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QuickTime™ and aH.264 decompressor

are needed to see this picture.

PreStack Depth Migration

‣ High amplitude attribute in the respective subsurface location

‣ Down-going wave field from the source side and Up-going wave field towards the receivers at the same time

Forward-Reverse Modelling

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Earth

The Picture at Vertical Incidence

Reflection Coefficient

Acoustic Impedance

Z = Velocity X Density

R =Z - Z 12

Z + Z 121

Z = Z1 + R i

i + 1 1 - R ii

PreStack Depth Migration

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Forward Process

Earth ReflectionCoefficients

Wavelet WaveletSuperposition

Recorded Trace

Seismic Section

Impedance

PreStack Depth Migration

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Inverse Process

ReflectionCoefficients Wavelet

Seismic Section

Impedance Deconvolved Section

Integrated Section

PreStack Depth Migration

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Below shows reprocessing and RTM providing better imaging of the pre-salt data, and better imaging and truncations of the sediments on the salt flanks

Conventional Migration

RTM Migration

PreStack Depth Migration

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Conventional๏ Propagating data downward

through a velocity model into the earth

๏ Limit by structure

๏ Velocity field generate more complex arrival like prism wave that cause noise in image data

Reverse Time Migration๏ Propagate both events (downward and

upward) through earth model

๏ Explicitly handling turning wave and complex propagation wave

๏ Allow imaging of poor direct illumination of subsurface

๏ More accurate focusing, positioning and amplitudes in complex areas

๏ Improved imaging of complex plays- Steep dips- Complex overburdens, regardless of dip or rugosity

PreStack MigrationComparison

PreStack Depth Migration

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PreStack Depth Migration

Kirchhoff AlgorithmKirchhoff Algorithm

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What IsKirchhoff Algorithm

‣ Apply integral method

‣ Widely used in the industries

‣ Accept high angles : 90˚

‣ Accept turning waves (more than 90˚)

‣ Preserves amplitude

PreStack Depth Migration

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The Equation ofKirchhoff Algorithm

PreStack Depth Migration

V (M )= w(ξ,M )U•(

Ω∫∫ ξ,τD (,M ))dξ1dξ2

V (M )=Migrated Image at point M

w(ξ,M ) =Migration Weighting Function

U•

(ξ,τD (,M )) =Time−differentiated seismic data

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The Use OfKirchhoff Algorithm

‣ to better repositioning of data

‣ to better imaging accuracy / repositioning

‣ improve seismic image at steeply dipping subsurface structures

PreStack Depth Migration

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Source Receiver

CommonMid-Point

Simplifying Flat

ReflectionPoint

Bedrock

PreStack Depth Migration

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CommonMid-Point

Sometimes, Not Flat!

Bedrock

PreStack Depth Migration

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The Migration

PreStack Depth Migration

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The Upside

PreStack Depth Migration

✓Enhance image quality

✓Distinctive subsurface structures

✓Fidelity of the algorithm

✓Good on handling lateral velocity changes

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The Downside

Migration Noise

PreStack Depth Migration

๏ Migration artifacts

๏ Migrate non-primary

๏ Damage primary reflections

๏ Sensitive to errors in migration velocity

๏ Time consuming (3D)

๏ High cost

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PreStack Depth MigrationPreStack Depth Migration

Wavefield ExtrapolationMigration

Wavefield ExtrapolationMigration

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★ A new generation of more advanced algorithms

★ Base on Wave Equation Migration (WEM)

★ Improvement over Kirchhoff method in image quality

★ Implement differential solutions base on downward extrapolation

PreStack Depth Migration

What Is W.E.M

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PreStack Depth Migration

Superior Image of W.E.M

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Concept of W.E.M

PreStack Depth Migration

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PreStack Depth Migration

Finite-difference Explicit solutions

Implicit solutionsSplit-step Fourier

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Concept of W.E.M

PreStack Depth Migration

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Single-arrival Kirchhoff impulse response

Shot profile migration of WEM

PreStack Depth Migration

Which one is ‘which’?

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Propagation Effects

Diffraction, multiple arrivals, amplitude decay in shadow zone

PreStack Depth Migration

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Advantages

• Can tolerate irregular acquisition geometry

• Accurate dips handling up to 90° showing superior imaging

• High quality at low frequency

• Cost effective

PreStack Depth Migration

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Can tolerate irregular acquisition geometry

Detailed interpretationof an intensely faulted base salt event

PreStack Depth Migration

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Advantages

• Can tolerate irregular acquisition geometry

• Accurate dips handling up to 90° showing superior imaging

• High quality at low frequency

• Cost effective

PreStack Depth Migration

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PreStack Depth Migration

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Advantages

• Can tolerate irregular acquisition geometry

• Accurate dips handling up to 90° showing superior imaging

• High quality at low frequency

• Cost effective

PreStack Depth Migration

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PreStack Depth Migration

Kirchhoff Migration W.E.M

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Advantages

• Can tolerate irregular acquisition geometry

• Accurate dips handling up to 90° showing superior imaging

• High quality at low frequency

• Cost effective

PreStack Depth Migration

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Limitation of WEM

๏ Relied most on Velocity model

๏ Expensive yet preferable

PreStack Depth Migration

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PreStack Depth MigrationPreStack Depth Migration

Case Study (1)Case Study (1)

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Mona Lisa

• Marine and Onshore North Sea Acquisition for Lithospheric Seismic Analysis (MONALISA)

• Pre-Permian sedimentary basins (SE North Sea) have been previously interpreted from potential field data but only poorly imaged on seismic sections obtained.

• It is due to the presence of salt layers and a thick Mesozoic and Cenozoic cover

PreStack Depth Migration

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North Sea

PreStack Depth Migration

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Solutions

๏ Reprocessing using pre-stack depth migration of sections of MONA LISA deep seismic has successfully imaged pre-Permian sequences whose exploration in the North Sea has been historically unknown.

๏ The difficulties in seismic imaging, are such as the overburden geology, and the presence of Zechstein salt.

PreStack Depth Migration

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Seismic Before and After PSDM

PreStack Depth Migration

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Interpretation from PSDM data

PreStack Depth Migration

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PreStack Depth Migration

The interpreted section, ‣Dark grey: Mesozoic section White: Pre-Permian basinLight grey: basement

Interpretation from PSDM data

The Boundaries,NBR: near basement reflectionPU: Permian unconformity

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Summary

✓ The standard processing at lithospheric scale features can lead to degradation of the seismic information in the upper crust.

✓ Reprocessing with PSDM of the upper crustal sections seismic gives considerable amounts of new information such as their lithology boundaries and sections.

PreStack Depth Migration

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PreStack Depth MigrationPreStack Depth Migration

Case Study (2)Case Study (2)

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PreStack Depth Migration

PSDM method applied:

✓ Kirchhoff PreSDM

✓ W.E. Migration

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Figure 1: Field layout of the 3D seismic survey conducted over the salt structure.

N

PreStack Depth Migration

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Early procedures

Gravity survey detected onshore salt body.

2D seismic survey conducted-obtain more subsurface information

Wells are drilled, oil & gas producing sands were discovered from depths

within 3000-10000 ft.

PreStack Depth Migration

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Figure 2: 3D prestack time migration (preSTM) section of a crossline, located near the center of the survey area.

The subsalt reflections are poorly focused and not correctly positioned spatially by the preSTM.

PreStack Depth Migration

Figure 2: PSTM

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Figure 3: Kirchhoff preSDM image of the same crossline

Figure 2: PSTM

PreStack Depth Migration

PSTM Kirchhoff PSDM

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Figure 4: The salt flanks exhibit a small improvement

compared to the Kirchhoff image.

PreStack Depth Migration

Figure 3: Kirchhoff PSDM

Kirchhoff W.E.M

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The Kirchhoff preSDM of an inline section, highlighting the subsalt depth interval of between 11,900 and 25,500 feet.

A more enhanced image of the subsalt structure. It is apparent that there is structure beneath the salt body forming a rollover or structural high.

PreStack Depth Migration

Kirchhoff W.E.M

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The Kirchhoff preSDM image of a crossline shows a very good image of the base salt

PreStack Depth Migration

Kirchhoff PSDM

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The W.E. preSDM image shows not only a good base-of-salt image, but also better defined subsalt reflections.

PreStack Depth Migration

W.E.M PSDM

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Summary• The Kirchhoff preSDM method will continue to be

the preferred choice for prestack depth imaging.

• Need to understand the capabilities and limitations of each PSDM method.

• Wave equation method, is not as a replacement, but as a complementary technology to Kirchhoff.

PreStack Depth Migration

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PreStack Depth MigrationPreStack Depth Migration

ConclusionConclusion

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Conclusion

✓ Production depth imaging combines established Kirchhoff technology with new-generation wavefield extrapolation migrations.

✓ The two technologies are complementary.

PreStack Depth Migration

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PreStack Depth Migration

Q & A