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Geophysical Data Analysis


Geophysical Data Analysis
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Geophysical Data Analysis


Geophysical Data Analysis
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Author : William Menke
language : en
Publisher: Elsevier
Release Date : 1989-10-04

Geophysical Data Analysis written by William Menke and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-10-04 with Science categories.


Please use extracts from reviews of first editionKey Features* Updated and thoroughly revised edition* additional material on geophysical/acoustic tomography* Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies



Geophysical Data Analysis Understanding Inverse Problem Theory And Practice


Geophysical Data Analysis Understanding Inverse Problem Theory And Practice
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Author : Max A. Meju
language : en
Publisher: SEG Books
Release Date : 1994

Geophysical Data Analysis Understanding Inverse Problem Theory And Practice written by Max A. Meju and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Geophysics categories.


Geophysical data analysis is a very practical subject and this book is intended to be a simple guide to the techniques of parameter estimation and error analysis. I have placed emphasis on the reconciliation of theory and practical data to enable the reader understand how to tackle typical problems in data analysis. It is hoped that a mastery of the simple techniques described in this book will inspire confidence in the reader to consult the more classical treatment of the subject. It is pertinent to mention that this book developed out of a highly successful course of the same title given to senior undergraduate geophysics students in Leicester University since 1988 and its popularity stems from the structured learning programs and the simple effective practical approach to geophysical inversion. The course is given in the first semester to provide students with the basic tools for quantitative analysis of geoscientific data and consists of 10 lectures and practical sessions involving the materials given in Chapters 1 to 9 in this book. Chapter 10 derives from topical issues of research interest to me and my induction courses for postgraduate students in geophysics and the industry. The contents of this book are easily digestible and require little statistical or mathematical commitment.



Essentials Of Geophysical Data Processing


Essentials Of Geophysical Data Processing
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Author : Clark R. Wilson
language : en
Publisher: Cambridge University Press
Release Date : 2021-10-21

Essentials Of Geophysical Data Processing written by Clark R. Wilson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-21 with Science categories.


Concise, self-contained survey of data processing methods in geophysics and other sciences, for upper level science and engineering students.



Geophysical Data Analysis Discrete Inverse Theory


Geophysical Data Analysis Discrete Inverse Theory
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Author : William Menke
language : en
Publisher: Academic Press
Release Date : 2012-06-21

Geophysical Data Analysis Discrete Inverse Theory written by William Menke and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-21 with Mathematics categories.


"The treatment of inverse theory in this book is divided into four parts. Chapters 1 and 2 provide a general background, explaining what inverse problems are and what constitutes their solution as well as reviewing some of the basic concepts from linear algebra and probability theory that will be applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem: the linear problem with Gaussian statistics. This is the best understood of all inverse problems; and it is here that the fundamental notions of uncertainty, uniqueness, and resolution can be most clearly developed. Chapters 8-11 extend the discussion to problems that are non-Gaussian, nonlinear and continuous. Chapters 12-13 provide examples of the use of inverse theory and a discussion of the steps that must be taken to solve inverse problems on a computer"--



Seismic Data Analysis


Seismic Data Analysis
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Author : Özdoğan Yilmaz
language : en
Publisher: SEG Books
Release Date : 2001

Seismic Data Analysis written by Özdoğan Yilmaz and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Science categories.


Expanding the author's original work on processing to include inversion and interpretation, and including developments in all aspects of conventional processing, this two-volume set is a comprehensive and complete coverage of the modern trends in the seismic industry - from time to depth, from 3D to 4D, from 4D to 4C, and from isotropy to anisotropy.



Geophysical Data Analysis


Geophysical Data Analysis
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Author : William Menke
language : en
Publisher:
Release Date : 1989

Geophysical Data Analysis written by William Menke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Geophysics categories.




Spectral Analysis And Filter Theory In Applied Geophysics


Spectral Analysis And Filter Theory In Applied Geophysics
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Author : Burkhard Buttkus
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Spectral Analysis And Filter Theory In Applied Geophysics written by Burkhard Buttkus and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


This book is intended to be an introduction to the fundamentals and methods of spectral analysis and filter theory and their appli cations in geophysics. The principles and theoretical basis of the various methods are described, their efficiency and effectiveness eval uated, and instructions provided for their practical application. Be sides the conventional methods, newer methods arediscussed, such as the spectral analysis ofrandom processes by fitting models to the ob served data, maximum-entropy spectral analysis and maximum-like lihood spectral analysis, the Wiener and Kalman filtering methods, homomorphic deconvolution, and adaptive methods for nonstation ary processes. Multidimensional spectral analysis and filtering, as well as multichannel filters, are given extensive treatment. The book provides a survey of the state-of-the-art of spectral analysis and fil ter theory. The importance and possibilities ofspectral analysis and filter theory in geophysics for data acquisition, processing and eval uation are illustrated with practical examples from various fields of applied geophysics. Although this book was planned primarily as a textbook for a course on the analysis of geophysical time· series, it may also be of interest to scientists and engineers who process other digital data. It provides a comprehensive discussion of the theoretical fundamen tals and a compilation of the extensive literature on the subject. I hope that I have succeeded in presenting the various principles and methods of time-series analysis comprehensively and without error. Comments on errors or suggestions for improvements are welcome.



Integral Transforms In Geophysics


Integral Transforms In Geophysics
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Author : Michael S. Zhdanov
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Integral Transforms In Geophysics written by Michael S. Zhdanov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Integral Transforms of Geophysical Fields serve as one of the major tools for processing and interpreting geophysical data. In this book the authors present a unified treatment of this theory, ranging from the techniques of the transfor- mation of 2-D and 3-D potential fields to the theory of se- paration and migration of electromagnetic and seismic fields. Of interest primarily to scientists and post-gradu- ate students engaged in gravimetrics, but also useful to geophysicists and researchers in mathematical physics.



Computational Neural Networks For Geophysical Data Processing


Computational Neural Networks For Geophysical Data Processing
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Author : Mary M. Poulton
language : en
Publisher: Pergamon Press
Release Date : 2001

Computational Neural Networks For Geophysical Data Processing written by Mary M. Poulton and has been published by Pergamon Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.


This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully.