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Author: Clark R. Wilson
Publisher: Cambridge University Press
Published: 2021-10-21
Total Pages: 203
ISBN-13: 1108931006
DOWNLOAD EBOOK →Concise, self-contained survey of data processing methods in geophysics and other sciences, for upper level science and engineering students.
Author: Jon F. Claerbout
Publisher: McGraw-Hill Companies
Published: 1976
Total Pages: 296
ISBN-13:
DOWNLOAD EBOOK →Author: Clark R. Wilson
Publisher: Cambridge University Press
Published: 2021-10-21
Total Pages: 204
ISBN-13: 1108950485
DOWNLOAD EBOOK →A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
Author: Vladimir Troyan
Publisher: World Scientific
Published: 2010
Total Pages: 454
ISBN-13: 981429375X
DOWNLOAD EBOOK →This textbook contains a consideration of the wide field of problems connected with statistical methods of processing of observed data, with the main examples and considered models related to geophysics and seismic exploration. This textbook will be particularly helpful to students and professionals from various fields of physics, connected with an estimation of the parameters of the physical objects by experimental data. The reader can also find many important topics, which are the basis for statistical methods of estimation and inverse problem solutions.
Author: Roy O. Lindseth
Publisher: SEG Books
Published: 1982
Total Pages: 334
ISBN-13: 0931830508
DOWNLOAD EBOOK →Originating in 1967 as notes to accompany a basic seminar for the Canadian SEG and then expanded in 1968 as an SEG Continuing Education course, this text focuses on how to choose processes and parameters for any given field data.
Author: Özdoğan Yilmaz
Publisher: SEG Books
Published: 2001
Total Pages: 2065
ISBN-13: 1560800941
DOWNLOAD EBOOK →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.
Author: Wail A. Mousa
Publisher: Cambridge University Press
Published: 2020-01-16
Total Pages: 341
ISBN-13: 1107039657
DOWNLOAD EBOOK →Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.
Author: Hua-Wei Zhou
Publisher: Cambridge University Press
Published: 2014-01-23
Total Pages: 509
ISBN-13: 0521199107
DOWNLOAD EBOOK →Modern introduction to seismic data processing demonstrating exploration and global geophysics applications through real data and tutorial examples that can be demonstrated with the instructor's software of choice. The underlying physics and mathematics of analysis methods is presented, showing students the limitations and potential for creating models of the sub-surface.
Author: Abdullatif A. Al-Shuhail
Publisher: John Wiley & Sons
Published: 2017-08-14
Total Pages: 244
ISBN-13: 1118881788
DOWNLOAD EBOOK →Bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology This book covers the basics of seismic exploration, with a focus on image processing techniques as applied to seismic data. Discussions of theories, concepts, and algorithms are followed by synthetic and real data examples to provide the reader with a practical understanding of the image processing technique and to enable the reader to apply these techniques to seismic data. The book will also help readers interested in devising new algorithms, software and hardware for interpreting seismic data. Key Features: Provides an easy to understand overview of popular seismic processing and interpretation techniques from the point of view of a digital signal processor. Presents image processing concepts that may be readily applied directly to seismic data. Includes ready-to-run MATLAB algorithms for most of the techniques presented. The book includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data interpretation from the point of view of digital signal processing. It is an ideal resource for students, professors and working professionals who are interested in learning about the application of digital signal processing theory and algorithms to seismic data.
