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Seismic waves: A primer

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Introduction

Seismic waves: A primer

Computational Seismology 1

 What are the governing equations for elastic wave propagation?

 What are the most fundamental results in simple media?

 How do we describe and input seismic sources (superposition principle)?

 What are consequences of the reciprocity principle?

 What rheologies do we need (stress-strain relation)?

 3-D heterogeneities and scattering

Green‘s functions, numerical solvers as linear systems

Goal: You know what to expect when running a wave simulation code!

(2)

Introduction Computational Geophysics and Data Analysis 2

Wave Equations

(3)

Introduction

The (anisotropic) elastic wave equation (strong form)

Computational Seismology 3

i ij

ij j

i

t u = ∂ + M + f

2 ( σ )

ρ

( k l l k )

kl

kl ijkl

ij

u u

c

∂ +

=

= 2

ε 1

ε σ

This is the displacement – stress formulation where

Wave equation

Stress-strain relation

Strain-displacement relation

(4)

Introduction

The elastic wave equation – the cast

Computational Seismology 4

(

k l l k

)

kl

kl ijkl ij

i ij

ij j

i t

u u

c

f M

u

∂ +

=

=

+ +

=

2 1

)

2

( ε

ε σ

σ ρ

Mass density

Displacement vector Stress tensor (3x3) Moment tensor (3x3) Volumetric force

Tensor of elastic constants (3x3x3x3) Strain tensor (3x3)

) , (

) (

) , (

) , (

) , (

) , (

) (

t c

c

t f

f

t M

M

t t u

u

kl kl

ijkl ijkl

i i

ij ij

ij ij

i i

x x x

x x x x

ε ε

σ σ

ρ ρ

(5)

Introduction

3D to 1D

Computational Seismology 5

(6)

Introduction

1D elastic wave equation

Computational Seismology 6

(7)

Introduction

1D elastic wave equation

Computational Seismology 7

f u

u = ∂ x ( µ ∂ x ) +

ρ

This is a scalar wave equation descriptive of transverse motions of a string

(8)

Introduction

The elastic wave equation

Computational Seismology 8

kl ijkl

ij

i ij

ij j

i t

c

f M

v

ε σ

σ ρ

 = 

+ +

=

∂ ( )

This is the velocity – stress formulation, where

( )

i t i

i

k l l

k kl

u u

v

v v

=

=

∂ +

=

 2

ε 1

(

k l l k

)

kl

kl ijkl ij

i ij

ij j

i t

u u

c

f M

u

∂ +

=

=

+ +

=

2 1

)

2

( ε

ε σ

σ

ρ

(9)

Introduction

3D acoustic wave equation

Computational Seismology 9

This is the constant density acoustic wave equation (sound

in a liquid or gas)

 

 

+

=

2 2 2 2

) , (

) , (

) (

z y x

t x s

s

t x p

p

x c

c

s p

c p

P-velocity

Pressure

Sources .

Laplace Operator

This is equation is still tremendously important in

exploration seismics!

.

(10)

Introduction Computational Geophysics and Data Analysis 10

Rheologies

(11)

Introduction Computational Geophysics and Data Analysis 11

Stress and strain

To first order the Earth‘s crust deforms like an elastic body when the deformation (strain) is small.

In other words, if the force that causes the deformation is stopped the rock will go back to its original form.

The change in shape (i.e., the deformation) is

called strain, the forces that cause this strain

are called stresses.

(12)

Introduction

Stress-strain relation

Computational Geophysics and Data Analysis 12

The relation between stress and strain in general is described by the tensor of elastic constants cijkl

kl ijkl

ij

c ε

σ =

From the symmetry of the stress and strain tensor and a thermodynamic condition if follows that the maximum number if independent constants of cijkl is 21. In an isotropic body, where the properties do not depend on direction the relation reduces to

ij ij

ij

λ δ µε

σ = Θ + 2

where l and m are the Lame parameters, q is the dilatation and dij is the Kronecker delta.

Generalised Hooke’s Law

Hooke’s Law

(

xx yy zz

)

ij

ij kk

ij

ε δ ε ε ε δ

δ = = + +

Θ

(13)

Introduction

Other rheologies (not further explored in this course)

Computational Seismology 13

Viscoelasticity

• the loss of energy due to internal friction

• possibly frequency-dependent

• different for P and S waves (why?)

• described by Q

• Not easy to implement numerically for time-domain methods Porosity

• Effects of pore space (empty, filled, partially filled) on stress-strain

• Frequency-dependent effects

• Additional wave types (slow P wave)

• Highly relevant for reservoir wave propagation Plasticity

• permanent deformation due to changes in the material as a function of deformation or stress

• resulting from (micro-) damage to the rock mass

• often caused by damage on a crystallographic scale

• important close to the earthquake source

• not well constrained by observations

(14)

Introduction Computational Geophysics and Data Analysis 14

Seismic Waves

(15)

Introduction Computational Geophysics and Data Analysis 15

Consequences of the equations of motion

What are the solutions to this equation? At first we look at infinite homogeneous isotropic media, then:

ij j i

i

f

u σ

ρ   = + ∂

ρ µ λ + 2

p

=

v ρ

= µ v

s

approximately S-waves

s

p

v

v = 3

P-waves

(16)

Introduction

Boundary conditions: external and internal interfaces

Computational Seismology 16

´j

=

ij

n

j

= 0

t σ

Traction is zero n

perpendicular to free surface (needs special attention with most numerical methods)

At internal interfaces we speak of welded contact Normal tractions are continuous (they are usually not directly implemented, except fluid-solid)

n σ n

σ

1

ˆ =

2

ˆ

(17)

Introduction

Seismic wave types Surface waves waves

Computational Geophysics and Data Analysis 17

Love waves – transversely

polarized – superposition of SH waves in layered media Non-existing in half space

Always dispersive in layered media

Rayleigh waves – polarized in the plane through source and receiver –

superposition of P and SV waves

Non-dispersive in half space Dispersive in layered media

(18)

Introduction Computational Geophysics and Data Analysis 18

Surface wave dispersion

(19)

Introduction Computational Geophysics and Data Analysis 19

Data Example

theoretical experimental

(20)

Introduction

Real vs. numerial dispersion

Computational Seismology 20

(21)

Introduction

Surface waves summary

Computational Seismology 21

 Elastic surface waves (Love and Rayleigh) in nature generally show

dispersive behavior (later we will see that there is also dispersive behaviour due to numerical effects!)

 Surface waves are a consequence of the free-surface boundary condition. We thus might expect that – when using numerical approximations there

might be differences concerning the accurate implementation of this boundary condition.

 The accurate simulation of surface waves plays a dominant role in global and regional (continental scale) seismology and is usually not so

important in exploration geophysics.

(22)

Introduction Computational Seismology 22

Reflection, Transmission

(23)

Introduction

Reflection and transmission at boundaries oblique incidence - conversion

Computational Geophysics and Data Analysis 23

P Sr Pr

Pt St

P waves can be converted to S waves and vice versa. This creates a quite complex behavior of wave amplitudes and wave forms at interfaces. This behavior can be used to constrain the properties of the material interface.

incoming P-wave

reflections

transmissions Material 1

Material 2

Interface

(24)

Introduction Computational Geophysics and Data Analysis 24

Analytical solutions

(25)

Introduction 25

„delta“-generating function

Spatial (or temporal) source function

bc stands for boxcar

(26)

Introduction

Analytical solutions for acoustic wave equation (Green‘s function)

Computational Seismology 26

(27)

Introduction

Analytical solutions

Computational Seismology 27

(28)

Introduction Computational Geophysics and Data Analysis 28

Seismic sources

(29)

Introduction Computational Geophysics and Data Analysis 29

Radiation from a point double-couple source

Geometry we use to express the seismic wavefield radiated by point double-couple source with area A and slip Du

Here the fault plane is the x1x2- plane and the slip is in x1-direction.

Which stress components are affected?

(30)

Introduction Computational Geophysics and Data Analysis 30

Radiation from a point source (M

zx

=M

xz

=M

0)

… one of the most important results of

seismology!

… Let’s have a closer look …

u ground displacement as a function of space and r timedensity

r distance from source Vs shear velocity

Vp P-velocity N near field IP/S intermediate field FP/S far field

M0 seismic moment

(31)

Introduction Computational Geophysics and Data Analysis 31

Radiation from a point source (M

zx

=M

xz

=M

0)

Near field term contains the static

deformation

Intermediate terms

Far field terms:

the main ingredient for source

inversion, ray theory, etc.

(32)

Introduction

Elastic waves 2D

Computational Seismology 32

Explosion Double couple

(33)

Introduction Computational Geophysics and Data Analysis 33

Beachballs and moment tensor

explosion - implosion

vertical strike slip fault

vertical dip slip fault

45° dip thrust fault

compensated linear vector dipoles

(34)

Introduction

Translation, Divergence, Rotation, and all that (M4, 3km away)

Computational Seismology 34

(35)

Introduction Computational Geophysics and Data Analysis 35

Source mechanisms

Basic fault types and their appearance in the focal

mechanisms. Dark regions indicate compressional P- wave motion.

(36)

Introduction

Radiation patterns of a double couple point sources

Computational Geophysics and Data Analysis 36

Far field P – blue

Far field S - red

(37)

Introduction Computational Geophysics and Data Analysis 37

Seismic moment M

0

A t

u M

0

= µ ∆ ( )

M0 seismic moment m rigidity

<∆u(t)> average slip

A fault area Note that the far-field

displacement is proportional to the moment rate!

(38)

Introduction Computational Geophysics and Data Analysis 38

Source time function

(39)

Introduction 39

Displacement, Velocity, Acceleration

(40)

Introduction

The superposition principle

Computational Seismology 40

(41)

Introduction

Discrete representation of finite sources

Computational Seismology 41

(42)

Introduction

Superposition principle

Computational Seismology 42

(43)

Introduction

The Earth (or a numerical solver) as a linear system

Computational Seismology 43

(44)

Introduction Computational Seismology 44

=

=

Green‘s function Source time function Seismogram

analytical numerical

Numerical

seismogram using peak source time function

(45)

Introduction

Source-receiver reciprocity

Computational Seismology 45

(46)

Introduction Computational Seismology 46

(47)

Introduction

In other words

Computational Seismology 47

Seismogram through

random model

A B

A -> B

B -> A

(48)

Introduction

Time reversal – reverse acoustics

Computational Seismology 48

forward

reverse

(49)

Introduction

Practical example – Valhall active experiment

Computational Seismology 49

(50)

Introduction

Full waveform inversion – Inverse Problems

Computational Seismology 50

Sirgue et al., 2010

(51)

Introduction

Summary

To understand seismic wave propagation the following concepts need to be understood:

Computational Geophysics and Data Analysis 51

 The mathematical description of the deformation of an elastic 3-D object -> strain

 The forces that are at work for a given deformation and its (mostly linear!) dependence on the magnitude of deformation > stress – strain relation

 The description of elastic modules and the various symmetry

systems (-> elasticicity tensor, isotropy, transverse isotropy, hexagonal symmetry ).

 The boundary condition required at the free surface (traction-free) and the consequences for wave propagation -> surface waves

 The description of seismic sources using the moment tensor concept (-> double couples, explosions)

 The origin, scale, spectrum of material heterogeneities in side the

Earth (-> the reason why we need to resort to numerical methods)

References

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