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Numerical Methods of Exploration Seismology
With Algorithms in MATLAB®


  • Date Published: January 2019
  • availability: In stock
  • format: Hardback
  • isbn: 9781107170148

£ 59.99

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About the Authors
  • Exploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLAB® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscientists in the oil and gas industry.

    • Focuses on the development of real algorithms and computational software, allowing the reader to develop new methods or extend existing ones to construct seismic images
    • MATLAB® processing codes and algorithms contained in the book are part of a publicly available, online software library
    • Descriptions of functions in the toolbox are provided, together with code snippets chosen to illustrate key topics
    • Numerous computational exercises are given based on the MATLAB® codes and datasets (real and synthetic) provided online
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    Reviews & endorsements

    'This book is a masterpiece in scope and content. It explains the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. A particularly outstanding feature is that it gives useful methods and tools to pursue research projects and analyses - representing the way that things should be taught in the computer age. For this reason, it should be adopted in the undergraduate curriculum and will be a wonderful resource for graduate students and researchers in applied geophysics. Practicing geoscientists will also welcome this book as it will make their daily tasks easier and more productive.' Enders Robinson, Columbia University, New York City

    'The authors are to be commended for putting together this valuable resource which will instantly be highly useful to many geophysicists in the academic and industrial communities. The book is a pleasing and unusual mixture of rigorous geophysical signal processing theory and practical concepts, algorithms and code snippets. The MATLAB library functions and scripts that are provided or available for download will prove indispensable to all readers.' Peter Cary, Chief Geophysicist, TGS Canada

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    Product details

    • Date Published: January 2019
    • format: Hardback
    • isbn: 9781107170148
    • length: 450 pages
    • dimensions: 253 x 192 x 24 mm
    • weight: 1.15kg
    • contains: 191 b/w illus.
    • availability: In stock
  • Table of Contents

    1. Introduction to MATLAB and seismic data
    2. Signal theory – continuous
    3. Signal theory – discrete
    4. Wave propagation and seismic modelling
    5. Deconvolution – the estimation of reflectivity
    6. Velocity measures and ray tracing
    7. Elementary migration methods

  • Resources for

    Numerical Methods of Exploration Seismology

    Gary F. Margrave, Michael P. Lamoureux

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  • Authors

    Gary F. Margrave, University of Calgary
    Gary F. Margrave has extensive experience with seismic data in both the corporate and academic worlds. His career began with fifteen years at Chevron, before twenty years as a Professor of Geophysics at the University of Calgary, where he taught courses on which this book is based. He then spent two years as Senior Geophysical Advisor at Devon Energy. He is now retired but still pursuing a vigorous research program.

    Michael P. Lamoureux, University of Calgary
    Michael P. Lamoureux is a Professor of Mathematics at the University of Calgary, with a research focus on functional analysis and its application to physics, signal processing, and imaging. He has a keen interest in developing advanced mathematical methods for use in real industrial settings.

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