Geophysical Data Analysis

Geophysical Data Analysis Discrete Inverse Theory

• Author : William Menke
• Publisher : Academic Press
• Release Date : 2012-12-02
• Genre: Science
• Pages : 272
• ISBN 10 : 9780323141284

Geophysical Data Analysis: Discrete Inverse Theory is an introductory text focusing on discrete inverse theory that is concerned with parameters that either are truly discrete or can be adequately approximated as discrete. Organized into 12 chapters, the book’s opening chapters provide a general background of inverse problems and their corresponding solution, as well as some of the basic concepts from probability theory that are applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem, that is, the linear problem with Gaussian statistics, and discussions on problems that are non-Gaussian and nonlinear are covered in Chapters 8 and 9. Chapters 10-12 present examples of the use of inverse theory and a discussion on the numerical algorithms that must be employed to solve inverse problems on a computer. This book is of value to graduate students and many college seniors in the applied sciences.

Geophysical Data Analysis Understanding Inverse Problem Theory and Practice

• Author : Max A. Meju
• Publisher : SEG Books
• Release Date : 1994
• Genre: Geophysics
• Pages : 305
• ISBN 10 : 9781560802570

This publication is designed to provide a practical understanding of methods of parameter estimation and uncertainty analysis. The practical problems covered range from simple processing of time- and space-series data to inversion of potential field, seismic, electrical, and electromagnetic data. The various formulations are reconciled with field data in the numerous examples provided in the book; well-documented computer programmes are also given to show how easy it is to implement inversion algorithms.

Essentials of Geophysical Data Processing

• Author : Clark R. Wilson
• Publisher : Cambridge University Press
• Release Date : 2021-10-21
• Genre: Science
• Pages : 203
• ISBN 10 : 9781108931007

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

Geophysical Data Analysis

• Author : William Menke
• Publisher : Academic Press
• Release Date : 2018-04-10
• Genre: Science
• Pages : 352
• ISBN 10 : 9780128135563

Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones. Using problems and case studies, along with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory. Includes material on probability, including Bayesian influence, probability density function and metropolis algorithm Offers detailed discussion of the application of inverse theory to tectonic, gravitational and geomagnetic studies Contains numerous examples, color figures and end-of-chapter homework problems to help readers explore and further understand presented ideas Includes MATLAB examples and problem sets Updated and refined throughout to bring the text in line with current understanding and improved examples and case studies Expanded sections to cover material, such as second-derivation smoothing and chi-squared tests not covered in the previous edition

Seismic Data Analysis

• Author : Özdoğan Yilmaz
• Publisher : SEG Books
• Release Date : 2001
• Genre: Technology & Engineering
• Pages : 2089
• ISBN 10 : 9781560800941

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 Potential Fields

• Author : Lev Eppelbaum
• Publisher : Elsevier
• Release Date : 2019-07-18
• Genre: Science
• Pages : 476
• ISBN 10 : 9780128116869

Geophysical Potential Fields: Geological and Environmental Applications, Volume Two, investigates the similarities and differences of potential geophysical fields, including gravity, magnetics, temperature, resistivity and self-potential, along with the influence of noise on these fields. As part of the Computational Geophysics series, this volume provides computational examples and methods for effectively solving geophysical problems in a full cycle manner. Including both quantitative and qualitative analysis, the book offers different filtering and transformation procedures, integrated analysis, and special interpretation methodologies, also presenting a developed 3D algorithm for combined modeling of gravity and magnetic fields in complex environments. The book also includes applications of the unified potential field system, such as studying deep structure, searching hydrocarbon and ore deposits, localizing buried water horizons and rockslide areas, tectono-structural mapping of water basins, and classifying archaeological targets. It is an ideal and unique resource for geophysicists, exploration geologists, archaeologists and environmental scientists. Clearly demonstrates the successive stages of geophysical field analysis for different geological and environmental targets Provides a unified system for potential geophysical field analysis that is demonstrated by numerous examples of system application Demonstrates the possibilities for rapidly and effectively interpreting anomalies, receiving some knowledge of modern wavelet, diffusion maps and informational approach applications in geophysics, and combined gravity-magnetic methodology of 3D modeling Includes text of the Geological Space Field Calculation (GSFC) software intended for 3D combined modeling of gravity and magnetic fields in complex environments

Spectral Analysis and Filter Theory in Applied Geophysics

• Author : Burkhard Buttkus
• Publisher : Springer Science & Business Media
• Release Date : 2012-12-06
• Genre: Science
• Pages : 667
• ISBN 10 : 9783642570162

This state-of-the-art survey serves as a complete overview of the subject. Besides the principles and theoretical foundations, emphasis is laid on practical applicability -- describing not only classical methods, but also modern developments and their applications. Students, researchers and practitioners, especially in the fields of data registration, treatment and evaluation, will find this a wealth of information.

Data Analysis Methods in Physical Oceanography

• Author : Richard E. Thomson
• Publisher : Elsevier
• Release Date : 2001-04-03
• Genre: Science
• Pages : 654
• ISBN 10 : 9780080477008

Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the five major chapters of the book cover data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. Chapter 5 on time series analysis is a book in itself, spanning a wide diversity of topics from stochastic processes and stationarity, coherence functions, Fourier analysis, tidal harmonic analysis, spectral and cross-spectral analysis, wavelet and other related methods for processing nonstationary data series, digital filters, and fractals. The seven appendices include unit conversions, approximation methods and nondimensional numbers used in geophysical fluid dynamics, presentations on convolution, statistical terminology, and distribution functions, and a number of important statistical tables. Twenty pages are devoted to references. Featuring: • An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences. • A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data. • 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...) The book provides both a text for advanced students of the geoph

Fundamentals of Geophysical Data Processing

• Author : Jon F. Claerbout
• Publisher : McGraw-Hill Companies
• Release Date : 1976
• Genre: Informacion - Sistemas de almacenamiento y recuperacion - Geofisica
• Pages : 296
• ISBN 10 : UCAL:B4254669

Geophysical Data Analysis Discrete Inverse Theory

• Author : William Menke
• Publisher : Academic Press
• Release Date : 2012-06-21
• Genre: Science
• Pages : 331
• ISBN 10 : 9780123971609

"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"--

Geophysical Signal Analysis

• Author : Enders A. Robinson
• Publisher : SEG Books
• Release Date : 2000
• Genre: Science
• Pages : 495
• ISBN 10 : 9781560801047

Addresses the construction, analysis, and interpretation of mathematical and statistical models. The practical use of the concepts and techniques developed is illustrated by numerous applications. The chosen examples will interest many readers, including those engaged in digital signal analysis in disciplines other than geophysics.

Time Series Analysis in Seismology

• Author : Alejandro Ramírez-Rojas
• Publisher : Elsevier
• Release Date : 2019-08-02
• Genre: Science
• Pages : 406
• ISBN 10 : 9780128149027

Time Series Analysis in Seismology: Practical Applications provides technical assistance and coverage of available methods to professionals working in the field of seismology. Beginning with a thorough review of open problems in geophysics, including tectonic plate dynamics, localization of solitons, and forecasting, the book goes on to describe the various types of time series or punctual processes obtained from those systems. Additionally, the book describes a variety of methods and techniques relating to seismology and includes a discussion of future developments and improvements. Time Series Analysis in Seismology offers a concise presentation of the most recent advances in the analysis of geophysical data, particularly with regard to seismology, making it a valuable tool for researchers and students working in seismology and geophysics. Presents the necessary tools for time series analysis as it relates to seismology in a compact and consistent manner Includes a discussion of technical resources that can be applied to time series data analysis across multiple disciplines Describes the methods and techniques available for solving problems related to the analysis of complex data sets Provides exercises at the end of each chapter to enhance comprehension

Time Series Analysis and Inverse Theory for Geophysicists

• Author : David Gubbins
• Publisher : Cambridge University Press
• Release Date : 2004-03-18
• Genre: Science
• Pages : null
• ISBN 10 : 9781316582930

This unique textbook provides the foundation for understanding and applying techniques commonly used in geophysics to process and interpret modern digital data. The geophysicist's toolkit contains a range of techniques which may be divided into two main groups: processing, which concerns time series analysis and is used to separate the signal of interest from background noise; and inversion, which involves generating some map or physical model from the data. These two groups of techniques are normally taught separately, but are here presented together as parts I and II of the book. Part III describes some real applications and includes case studies in seismology, geomagnetism, and gravity. This textbook gives students and practitioners the theoretical background and practical experience, through case studies, computer examples and exercises, to understand and apply new processing methods to modern geophysical datasets. Solutions to the exercises are available on a website at http://publishing.cambridge.org/resources/0521819652

Computational Neural Networks for Geophysical Data Processing

• Author : M.M. Poulton
• Publisher : Elsevier
• Release Date : 2001-06-13
• Genre: Science
• Pages : 352
• ISBN 10 : 0080529658

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.

Seismic Signatures and Analysis of Reflection Data in Anisotropic Media

• Author : I. Tsvankin
• Publisher : Elsevier
• Release Date : 2005-06-13
• Genre: Science
• Pages : 470
• ISBN 10 : 0080446183

Following the breakthrough in the last decade in identifying the key parameters for time and depth imaging in anisotropic media and developing practical methodologies for estimating them from seismic data, Seismic Signatures and Analysis of Reflection Data in Anisotropic Media primarily focuses on the far reaching exploration benefits of anisotropic processing. This volume provides the first comprehensive description of reflection seismic signatures and processing methods in anisotropic media. It identifies the key parameters for time and depth imaging in transversely isotropic media and describes practical methodologies for estimating them from seismic data. Also, it contains a thorough discussion of the important issues of uniqueness and stability of seismic velocity analysis in the presence of anisotropy. The book contains a complete description of anisotropic imaging methods, from the theoretical background to algorithms to implementation issues. Numerous applications to synthetic and field data illustrate the improvements achieved by the anisotropic processing and the possibility of using the estimated anisotropic parameters in lithology discrimination. Focuses on the far reaching exploration benefits of anisotropic processing First comprehensive description of reflection seismic signatures and processing methods in anisotropic media