ISBN-10:
1119257980
ISBN-13:
9781119257981
Pub. Date:
11/07/2016
Publisher:
Wiley
Seismic Inversion: Theory and Applications / Edition 1

Seismic Inversion: Theory and Applications / Edition 1

by Yanghua Wang

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Product Details

ISBN-13: 9781119257981
Publisher: Wiley
Publication date: 11/07/2016
Pages: 256
Product dimensions: 6.40(w) x 9.80(h) x 0.70(d)

About the Author

Yanghua Wang is a Professor at Imperial College London and has held the position of Director of the Centre for Reservoir Geophysics since 2004. He is a founding editor of the Journal of Geophysics and Engineering. He is also a Fellow of the Institute of Physics (FIntP) and a Fellow of the Royal Astronomical Society (FRAS).

Table of Contents

Preface viii

Chapter 1 Basics of seismic inversion 1

1.1 The linear inverse problem 1

1.2 Data, model and mapping 3

1.3 General solutions 4

1.4 Regularisation 5

Chapter 2 Linear systems for inversion 11

2.1 A governing equation and its solution 11

2.2 Seismic scattering 14

2.3 Seismic imaging 16

2.4 Seismic downward continuation 18

2.5 Seismic data processing 20

Chapter 3 Least-squares solutions 23

3.1 Determinant and rank 23

3.2 The inverse of a square matrix 27

3.3 LU decomposition and Cholesky factorisation 28

3.4 Least-squares solutions 34

3.5 Least-squares solution for a nonlinear system 37

3.6 Least-squares solution by QR decomposition 37

Chapter 4 Singular value analysis 41

4.1 Eigenvalues and eigenvectors 41

4.2 Singular value concept 44

4.3 Generalised inverse solution by SVD 46

4.4 SVD applications 48

Chapter 5 Gradient-based methods 53

5.1 The step length 54

5.2 The steepest descent method 55

5.3 Conjugate gradient method 59

5.4 Biconjugate gradient method 61

5.5 The subspace gradient method 64

Chapter 6 Regularisation 67

6.1 Regularisation versus conditional probability 67

6.2 The Lp-norm constraint 70

6.3 The maximum entropy constraint 73

6.4 The Cauchy constraint 76

6.5 Comparison of various regularisations 79

Chapter 7 Localised average solutions 83

7.1 The average solution 84

7.2 The deltaness 85

7.3 The spread criterion 86

7.4 The Backus-Gilbert stable solution 88

Chapter 8 Seismic wavelet estimation 93

8.1 Wavelet extraction from seismic-to-well correlation 94

8.2 Constant-phase wavelet by kurtosis matching 98

8.3 Mixed-phase wavelet by cumulant matching 102

8.4 Generalised seismic wavelets 106

Chapter 9 Seismic reflectivity inversion 111

9.1 The least-squares problem with a Gaussian constraint 111

9.2 Reflectivity inversion with an Lp-norm constraint 113

9.3 Reflectivity inversion with the Cauchy constraint 115

9.4 Multichannel inversion scheme 118

9.5 Multichannel conjugate gradient method 121

Chapter 10 Seismic ray-impedance inversion 125

10.1 Acoustic and elastic impedances 125

10.2 Ray impedance 129

10.3 Workflow of ray-impedance inversion 132

10.4 Ray-impedance inversion with a model constraint 136

Chapter 11 Seismic tomography based on ray theory 137

11.1 Seismic tomography 137

11.2 Velocity-depth ambiguity in tomography 138

11.3 Ray tracing by a path bending method 141

11.4 Geometrical spreading of curved interfaces 144

11.5 Joint inversion of traveltime and amplitude data 147

Chapter 12 Waveform tomography for the velocity model 153

12.1 Inverse theory for seismic waveform tomography 154

12.2 The optimal step length 157

12.3 Strategy for reflection seismic tomography 159

12.4 Multiple attenuation and partial compensation 162

12.5 Waveform tomography 166

Chapter 13 Waveform tomography with irregular topography 169

13.1 Body-fitted grids for finite-difference modelling 169

13.2 Modification of boundary points 172

13.3 Pseudo-orthogonality and smoothness 173

13.4 Wave equation and absorbing boundary condition 176

13.5 Waveform tomography with irregular topography 180

Chapter 14 Waveform tomography for seismic impedance 183

14.1 Wave equation and model parameterisation 185

14.2 The impedance inversion method 187

14.3 Inversion strategies and the inversion flow 188

14.4 Application to field seismic data 193

14.5 Conclusions 196

Appendices 197

A Householder transform for QR decomposition 197

B Singular value decomposition 200

C Iterative methods for solving a linear system 206

D Biconjugate gradient method for complex systems 209

Exercises and solutions 211

References 231

Author index 238

Subject index 240

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