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Numerical Methods of Exploration Seismology: With Algorithms in MATLAB® [Kõva köide]

(University of Calgary), (University of Calgary)
  • Formaat: Hardback, 450 pages, kõrgus x laius x paksus: 253x192x24 mm, kaal: 1150 g, 59 Halftones, black and white; 132 Line drawings, black and white
  • Ilmumisaeg: 10-Jan-2019
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1107170141
  • ISBN-13: 9781107170148
Teised raamatud teemal:
Numerical Methods of Exploration Seismology: With Algorithms in MATLAB®Suurem pilt
  • Formaat: Hardback, 450 pages, kõrgus x laius x paksus: 253x192x24 mm, kaal: 1150 g, 59 Halftones, black and white; 132 Line drawings, black and white
  • Ilmumisaeg: 10-Jan-2019
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1107170141
  • ISBN-13: 9781107170148
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781107170148.html
Märksõnad:
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.

This technical guide presents the theory and practice of seismic data processing, illustrated with an extensive online library of MATLAB® algorithms. Introducing essential tools for conducting research in seismic imaging, it is an ideal reference for advanced students and exploration geoscientists in the petroleum industry.

Arvustused

'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 ' Numerical Methods of Exploration Seismology and its elegant MATLAB codes are a must for explorationists' bookshelves.' Sven Treitel, The Leading Edge

Muu info

Technical guide to the theory and practice of seismic data processing with MATLAB algorithms for advanced students, researchers and professionals.
Preface ix
Note on Online Resources xi
How to Obtain the MATLAB Codes xi
1 Introduction to MATLAB and Seismic Data
1(40)
1.1 Scope and Prerequisites
1(2)
1.2 MATLAB Conventions Used in This Book
3(3)
1.3 Seismic Wavelets
6(4)
1.4 Dynamic Range and Seismic Data Display
10(18)
1.5 Programming Tools
28(7)
1.6 Programming for Efficiency
35(5)
1.7
Chapter Summary
40(1)
2 Signal Theory: Continuous
41(63)
2.1 What is a Signal?
41(1)
2.2 Crosscorrelation and Autocorrelation
42(6)
2.3 Convolution
48(7)
2.4 The Fourier Transform
55(35)
2.5 Multidimensional Fourier Transforms
90(13)
2.6
Chapter Summary
103(1)
3 Signal Theory: Discrete
104(78)
3.1 Sampling
104(12)
3.2 Interpolation, Aliasing, and Resampling
116(5)
3.3 Discrete Convolution
121(15)
3.4 The Discrete Fourier Transform
136(13)
3.5 Discrete Minimum Phase
149(6)
3.6 Filtering and Spectral Analysis
155(10)
3.7 Time-Frequency Analysis
165(6)
3.8 Multidimensional Discrete Fourier Transforms
171(10)
3.9
Chapter Summary
181(1)
4 Wave Propagation and Seismic Modeling
182(63)
4.1 Introduction
182(2)
4.2 The Wave Equation Derived from Physics
184(10)
4.3 Waveform Changes in Heterogeneous Wave Equation
194(1)
4.4 Waves in an Elastic Medium
195(1)
4.5 Finite-Difference Modeling with the Acoustic Wave Equation
196(10)
4.6 The One-Dimensional Synthetic Seismogram
206(9)
4.7 MATLAB Tools for ID Synthetic Seismograms
215(29)
4.8
Chapter Summary
244(1)
5 Deconvolution: The Estimation of Reflectivity
245(64)
5.1 The Deconvolution Trace Model
245(4)
5.2 Gain Correction
249(5)
5.3 Frequency-Domain Stationary Spiking Deconvolution
254(12)
5.4 Time-Domain Stationary Spiking Deconvolution
266(10)
5.5 Predictive Deconvolution
276(12)
5.6 Nonstationary Deconvolution
288(18)
5.7
Chapter Summary
306(3)
6 Velocity Measures and Ray Tracing
309(42)
6.1 Instantaneous Velocity: vins or Just v
310(1)
6.2 Vertical Traveltime: τ
311(1)
6.3 Wins as a Function of Vertical Traveltime: vins (τ)
312(1)
6.4 Average Velocity: vave
313(1)
6.5 Mean Velocity: vmean
314(1)
6.6 RMS Velocity: vrms
315(2)
6.7 Interval Velocity: vins
317(3)
6.8 MATLAB Velocity Tools
320(3)
6.9 Apparent Velocity: vx, vy, vz
323(3)
6.10 Snell's Law
326(1)
6.11 Ray Tracing in a v(z) Medium
327(16)
6.12 Ray Tracing for Inhomogeneous Media
343(7)
6.13
Chapter Summary
350(1)
7 Elementary Migration Methods
351(84)
7.1 Stacked Data
352(9)
7.2 Fundamental Migration Concepts
361(16)
7.3 MATLAB Facilities for Simple Modeling and Raytrace Migration
377(12)
7.4 Fourier Methods
389(19)
7.5 Kirchhoff Methods
408(9)
7.6 Finite-Difference Methods
417(6)
7.7 Practical Considerations for Finite Datasets
423(11)
7.8
Chapter Summary
434(1)
References 435(3)
Index 438
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 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.