Название: Seismic multiple removal techniques: Past, present and future (EET 1)

Автор: Eric Verschuur

Издательство: EAGE Publications bv

Год издания: 2006

Цена: 4692 руб.

Цена для членов EAGE: 3944 руб.

Eric Verschuur. Seismic multiple removal techniques: Past, present and future (EET 1)(2011)

This book presents an overview of multiple removal methods that have been developed within the seismic exploration industry over the last five decades. It handles move-out based filtering, predictive deconvolution, wave equation-based prediction and subtraction and surface-related multiple removal, both for surface-related as well as internal multiples. The mathematical complexity is restricted to a minimum, while more emphasis is put at understanding the physical principles of these methods and their mutual relationships. The different multiple removal techniques are illustrated with a variety of synthetic and field data examples. For the surface-related multiple removal method, extra attenuation is paid to the practical aspects, extension to 3D data and land data applications. Finally, an outlook is given on how multiples can be turned from noise into usable data.

Table of Contents


Chapter 1 Multiples .... What?s the problem?
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
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
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
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
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
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
Least-squares subtraction strategies
Alternative subtraction techniques

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

Chapter 9 Internal multiple removal
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
CMP-oriented and post-stack strategies

Chapter 10 Removing or using multiples?
Including multiples in the migration process
Including multiples in the inversion process
Transforming multiples into primaries
The multiples may become our friends?



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