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Discontinuous Galerkin and Finite Difference techniques to simulate seismic waves in the presence of sharp interfaces J. Diaz, D. Kolukhin, J. Diaz, D. Kolukhin, V. Lisitsa V. Lisitsa , V. , V. Tcheverda Tcheverda 1

Motivation for mathematicians

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Coupling of the Discontinuous Galerkin and Finite Difference techniques to simulate seismic waves in the presence of sharp interfaces J. Diaz , D. Kolukhin , V. Lisitsa , V. Tcheverda. Motivation for mathematicians. Free-surface perturbation. σ = 1.38, I = 44.9 м. - PowerPoint PPT Presentation

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Page 1: Motivation for mathematicians

Coupling of the Discontinuous Galerkin and Finite Difference techniques to simulate seismic waves in the presence of sharp

interfaces

J. Diaz, D. Kolukhin, J. Diaz, D. Kolukhin, V. LisitsaV. Lisitsa, V. , V. TcheverdaTcheverda

1

Page 2: Motivation for mathematicians

Motivation for Motivation for mathematiciansmathematicians

2

σ = 1.38, I = 44.9 м

Free-surface perturbation

Page 3: Motivation for mathematicians

Motivation for Motivation for mathematiciansmathematicians

3

σ = 1.38, I = 44.9 м

N

jjXN

XRMS1

21)(

Free-surface perturbation

30%

Page 4: Motivation for mathematicians

Motivation for Motivation for geophysicistsgeophysicists

4

x (m)

z (m

)

vs (m/s)

0.7 0.8 0.9 1 1.1 1.2 1.3

x 104

-500

0

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x (m)

z (m)v

s (m/s)

0.7 0.8 0.9 1 1.1 1.2 1.3

x 104

-500

0

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Motivation for geophysicistsMotivation for geophysicists

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Motivation for Motivation for geophysicistsgeophysicists

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x (m)

z (m

)

ux, t = 0.55s

0.7 0.8 0.9 1 1.1 1.2 1.3

x 104

-500

0

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-1

-0.8

-0.6

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1x 10

-13

Original source

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Motivation for Motivation for geophysicistsgeophysicists

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x (m)

z (m

)

ux, t = 1.75s

0.7 0.8 0.9 1 1.1 1.2 1.3

x 104

-500

0

500

1000

1500

2000

2500

-1

-0.8

-0.6

-0.4

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0

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1x 10

-13

Diffraction of Rayleigh wave, secondary sources

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MotivationMotivation

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x (m)

time

(s)

uz

0.7 0.8 0.9 1 1.1 1.2 1.3

x 104

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

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Standard staggered grid Standard staggered grid schemescheme

9

.,2

1,

tC

tuu

tt

u T

zz

yy

xx

66

55

44

332313

232212

131211

00000

00000

00000

000

000

000

c

c

c

ccc

ccc

ccc

yz

xzxy

zz

yy

xx

yz

xzxy

Page 10: Motivation for mathematicians

Standard staggered grid Standard staggered grid schemescheme

10

.,2

1,

tC

tuu

tt

u T

• Easy to implement• Able to handle complex models• High computational efficiency• Suitable accuracy• Poor approximation of sharp

interfaces

Page 11: Motivation for mathematicians

Discontinuous Galerkin Discontinuous Galerkin methodmethod

Elastic wave equation in Cartesian coordinates:

dim

1

*

0

0

0

0

j

u

jj

j

f

fu

xB

Bu

tS

I

FVGt

VA

)(

Page 12: Motivation for mathematicians

Discontinuous Galerkin Discontinuous Galerkin methodmethod

FVGt

VA

)(

kkkk DDDD

dxWFdsWnVGdxVWGdxWt

VA

])([)]([

Page 13: Motivation for mathematicians

Discontinuous Galerkin Discontinuous Galerkin methodmethod

kkkk DDDD

dxWFdsWnVGdxVWGdxWt

VA

])([)]([

dim

1

)(j

inoutjj VVnBnVG

Page 14: Motivation for mathematicians

Discontinuous Galerkin Discontinuous Galerkin methodmethod

kkkk DDDD

dxWFdsWnVGdxVWGdxWt

VA

])([)]([

• Use of polyhedral meshes• Accurate description of sharp

interfaces• Hard to implement for complex

models• Computationally intense• Strong stability restrictions (low

Courant numbers)

Page 15: Motivation for mathematicians

Dispersion analysis Dispersion analysis (P1)(P1)

Courant ratio 0.25

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Dispersion analysis Dispersion analysis (P2)(P2)

Courant ratio 0.144

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Dispersion analysis Dispersion analysis (P3)(P3)

Courant ratio 0.09

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DG + FDDG + FD

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Finite differences:•Easy to implement•Able to handle complex models•High computational efficiency•Suitable accuracy•Poor approximation of sharp interfaces

Discontinuous Galerkin method:•Use of polyhedral meshes•Accurate description of sharp interfaces•Hard to implement for complex models•Computationally intense•Strong stability restrictions (low Courant numbers)

Page 19: Motivation for mathematicians

A sketchA sketch

P1-P3 DG on irregular triangular grid to match free-surface topography

P0 DG on regular rectangular grid = conventional (non-staggered grid scheme) – transition zone

Standard staggered grid scheme

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ExperimentsExperiments

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PPW Reflection

15 ~3 %

30 ~0.5 %

60 ~0.1 %

120 ??? %

DG

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FD+DG on rectangular FD+DG on rectangular gridgrid

P0 DG on regular rectangular grid

Standard staggered grid scheme

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Spurious ModesSpurious Modes2D example in Cartesian coordinates

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Spurious ModesSpurious Modes2D example in Cartesian coordinates

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InterfaceInterfaceIncident waves Reflected waves

Transmitted artificial waves

Transmitted true waves

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Conjugation Conjugation conditionsconditions

Incident waves Reflected waves

Transmitted artificial waves

Transmitted true waves

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ExperimentsExperiments

26

PPW Reflection

15 1.6 %

30 0.5 %

60 0.1 %

120 0.03 %

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Numerical Numerical experimentsexperiments

27

P

S

Surface Xs=4000, Zs=110 (10

meters below free surface), volumetric source, freq=30HzZr=5 meters below free surfaceVertical component is presented

Source

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Comparison with FDComparison with FD

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DG P1 h=2.5 m.FD h=2.5 m.

The same amplitude normalizationNumerical diffraction

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Comparison with FDComparison with FD

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DG P1 h=2.5 m.FD h=1m.

The same amplitude normalization Numerical diffraction

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Numerical Numerical experimentsexperiments

30

Xs=4500, Zs= 5 meters below free surface, volumetric source, freq=20HzZr=5 meters below free surface

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Numerical Numerical ExperimentsExperiments

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Numerical Experiment – Sea Numerical Experiment – Sea

BedBed

Source position x=12,500 m, z=5 m Ricker pulse with central frequency of 10 Hz Receivers were placed at the seabed.

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Numerical ExperimentsNumerical Experiments

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ConclusionsConclusions

• Discontinuous Galerkin method allows properly handling wave interaction with sharp interfaces, but it is computationally intense

• Finite differences are computationally efficient but cause high diffractions because of stair-step approximation of the interfaces.

• The algorithm based on the use of the DG in the upper part of the model and FD in the deeper part allows properly treating the free surface topography but preserves the efficiency of FD simulation.

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Thank you Thank you for attentionfor attention

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