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Seismic Multiple Removal Techniques

Past, present and future (EET 1)

image of Seismic Multiple Removal Techniques
  • By D.J. Verschuur
  • Format: EPUB
  • Publication Year: 2013
  • Number of Pages: 212
  • Language: English
  • Ebook ISBN: 9789073834965

Multiple reflections have been a major problem since the beginning of seismic exploration. In the last five decades a range of methods have been developed to suppress these reflections and enhance the primaries. This book provides an overview of these techniques, starting with the deconvolution-based methods from the 1960s, via the move-out discrimination techniques of the 1980s and ending up with wave-equation based methods from the 1990s and their 3D extensions as developed in the 2000s.
Furthermore, the current challenges in multiple removal and their relation with seismic imaging and inversion are treated. Besides this overview, the book also discusses processing concepts that are required to better understand various technologies, such as high-resolution seismic data transforms (Fourier, Radon), adaptive filtering techniques, wave-equation based forward and inverse wave propagation and the processing of seismic data in different transform domains. The emphasis is not to thoroughly treat the mathematics but to present some understanding of the physical concepts behind each method, illustrated with clear examples.

Table of Contents

Preface

Chapter 1 Multiples .... What’s the problem?

Introduction
Classification of multiple reflections
Characteristics of multiples
Impact on seismic imaging and interpretation
Categories of multiple removal methods
Outline of this book

Chapter 2 Multiple removal based on move-out and dip discrimination
Introduction
Principle of multiple removal by move-out discrimination
F-K and Radon transforms
Multiple removal by filtering in the F-K or Radon domain
Multiple suppression via the parabolic Radon domain
Towards high-resolution Radon transforms
Limitations of multiple removal by move-out discrimination
Multiple removal by target-oriented dip filtering

Chapter 3 Predictive deconvolution
Introduction
Convolution and correlation concept
Designing adaptive filters by least-squares optimisation
Predictive deconvolution basics
Extending the predictive deconvolution concept

Chapter 4 Multiple removal by wave field extrapolation
Introduction
Forward and inverse wave field extrapolation
Multiple prediction by wave field extrapolation
Application in the wave number and linear Radon domain

Chapter 5 Principles of surface-related multiple elimination
Introduction
Derivation of SRME for the 1D situation
Formulation of SRME for the 2D and 3D situation
Adaptive version of SRME
Iterative implementation of SRME
Relation between multiple prediction and subtraction methods

Chapter 6 Practical aspects of surface-related multiple elimination
Introduction
Effect of missing data for SRME
Shallow water multiple removal strategy
Multiple removal for land data
Application of SRME in different data domains

Chapter 7 Adaptive subtraction of predicted multiples
Introduction
Least-squares subtraction strategies
Alternative subtraction techniques

Chapter 8 Towards 3D multiple removal
Introduction
Multiples in complex 3D environments
3D SRME: theory
3D SRME: solutions via data interpolation

Chapter 9 Internal multiple removal
Introduction
Internal multiple removal by move-out discrimination
Extending the SRME concept to internal multiples
Internal multiple removal by inverse scattering
Layer-related internal multiple elimination
Hybrid and 3D internal multiple removal strategies
CMP-oriented and post-stack strategies

Chapter 10 Removing or using multiples?
Introduction
Transforming multiples into primaries
Estimation of primaries by sparse inversion
Including multiples in the migration process
Including multiples in the inversion process
The multiples may become our friends…

Biography

References

Acknowledgements

Index

References

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