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1104 The Leading Edge September 2012
Seismic Imaging and Inversion: Application of Linear
Inverse Theory, by R. H. Stolt and A. B. Weglein, ISBN
978-1-107-01490-9, Cambridge University Press, 2012, 404
pp., US $125.
This book, the first of a proposed two-volume series, presents
the basic concepts and relationships between wave-equation
migration and inversion technologies. Migration or seismic
imaging techniques are concerned with the determination
and restoration of the proper geometric locations of reflec-
tions caused by spatial variations in rock properties. Inver-
sion methods quantify the magnitude and sign changes of
those same rock properties from seismic data. Migration
and inversion technologies play a central role in exploration
geophysics as both are required to accurately determine the
location and quantity of hydrocarbons in the subsurface. The
prevailing view of imaging and inversion technologies is that
they are separate and unrelated. A key contribution of this
new volume is to demonstrate the relationship that exists be-
tween the two through inverse scattering theory.
In this first volume, the focus is on migration algorithms
that map recorded seismic data into seismic images and in-
version methodologies that transfer the seismic images into
rock properties. The physics of seismic imaging and inversion
requires complex and largely nonlinear equations to describe
the dynamics of the processes. Linearization of these equa-
tions into simpler forms is routinely performed to implement
solutions as computer processing modules. The primary mo-
tivation for linearization is driven by practical constraints of
computer speed and memory. The inevitable, negative conse-
quence of linearization is a reduction in accuracy of the com-
puter processing results. Today, most leading-edge seismic
processing algorithms incorporate some degree of linearity in
The Leading Edge
Reviews
their implementations. The second volume of this series will
move forward into the more complex nonlinear methods that
will overcome the current limitations of processing software.
Volume 1 begins with an overview of modeling, migra-
tion, imaging and inversion, and the interrelationships be-
tween these technologies. This sets the foundation for subse-
quent chapters discussing linear inverse scattering theory that
puts seismic imaging and inversion on a single, equal foot-
ing. This development allows the merging of the two fields
because each is now based on a common inverse scattering
theory.
The authors introduce the concept of scattering potential
from which the seismic reflectivity function can be derived.
Viewing the scattering potential as the generator of seismic
reflection data allows imaging of surfaces and diffractors
without the need for interpreter intervention or separate im-
aging methods/models.
Each chapter in the book ends with a set of exercises for
the reader that challenges them to apply the concepts covered
in that chapter to a practical problem. This makes the volume
suitable for use as a textbook for a graduate-level geophys-
ics course. The authors of this series, each having large and
long-term bodies of creative research in these technologies,
are well known and respected by the worldwide geophysics
community. I believe this series represents an important con-
tribution to geophysical literature. The novel methods and
conceptualization of seismic imaging and inversion method-
ologies will significantly impact research and development in
our industry for decades.
—Michael McCormack
Sequim, USA
Downloaded07/08/13to129.7.16.11.RedistributionsubjecttoSEGlicenseorcopyright;seeTermsofUseathttp://library.seg.org/

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Review of volume 1 in tle

  • 1. 1104 The Leading Edge September 2012 Seismic Imaging and Inversion: Application of Linear Inverse Theory, by R. H. Stolt and A. B. Weglein, ISBN 978-1-107-01490-9, Cambridge University Press, 2012, 404 pp., US $125. This book, the first of a proposed two-volume series, presents the basic concepts and relationships between wave-equation migration and inversion technologies. Migration or seismic imaging techniques are concerned with the determination and restoration of the proper geometric locations of reflec- tions caused by spatial variations in rock properties. Inver- sion methods quantify the magnitude and sign changes of those same rock properties from seismic data. Migration and inversion technologies play a central role in exploration geophysics as both are required to accurately determine the location and quantity of hydrocarbons in the subsurface. The prevailing view of imaging and inversion technologies is that they are separate and unrelated. A key contribution of this new volume is to demonstrate the relationship that exists be- tween the two through inverse scattering theory. In this first volume, the focus is on migration algorithms that map recorded seismic data into seismic images and in- version methodologies that transfer the seismic images into rock properties. The physics of seismic imaging and inversion requires complex and largely nonlinear equations to describe the dynamics of the processes. Linearization of these equa- tions into simpler forms is routinely performed to implement solutions as computer processing modules. The primary mo- tivation for linearization is driven by practical constraints of computer speed and memory. The inevitable, negative conse- quence of linearization is a reduction in accuracy of the com- puter processing results. Today, most leading-edge seismic processing algorithms incorporate some degree of linearity in The Leading Edge Reviews their implementations. The second volume of this series will move forward into the more complex nonlinear methods that will overcome the current limitations of processing software. Volume 1 begins with an overview of modeling, migra- tion, imaging and inversion, and the interrelationships be- tween these technologies. This sets the foundation for subse- quent chapters discussing linear inverse scattering theory that puts seismic imaging and inversion on a single, equal foot- ing. This development allows the merging of the two fields because each is now based on a common inverse scattering theory. The authors introduce the concept of scattering potential from which the seismic reflectivity function can be derived. Viewing the scattering potential as the generator of seismic reflection data allows imaging of surfaces and diffractors without the need for interpreter intervention or separate im- aging methods/models. Each chapter in the book ends with a set of exercises for the reader that challenges them to apply the concepts covered in that chapter to a practical problem. This makes the volume suitable for use as a textbook for a graduate-level geophys- ics course. The authors of this series, each having large and long-term bodies of creative research in these technologies, are well known and respected by the worldwide geophysics community. I believe this series represents an important con- tribution to geophysical literature. The novel methods and conceptualization of seismic imaging and inversion method- ologies will significantly impact research and development in our industry for decades. —Michael McCormack Sequim, USA Downloaded07/08/13to129.7.16.11.RedistributionsubjecttoSEGlicenseorcopyright;seeTermsofUseathttp://library.seg.org/