Seismic Inversion Deconvolution
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Introduction To Seismic Inversion Methods
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Author : Brian H. Russell
language : en
Publisher:
Release Date : 1988
Introduction To Seismic Inversion Methods written by Brian H. Russell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Seismic reflection method categories.
Seismic Inversion Deconvolution
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Author : Enders A. Robinson
language : en
Publisher:
Release Date : 1984
Seismic Inversion Deconvolution written by Enders A. Robinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Geophysics categories.
Seismic Inversion Methods A Practical Approach
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Author : S. P. Maurya
language : en
Publisher: Springer Nature
Release Date : 2020-05-28
Seismic Inversion Methods A Practical Approach written by S. P. Maurya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Science categories.
This book introduces readers to seismic inversion methods and their application to both synthetic and real seismic data sets. Seismic inversion methods are routinely used to estimate attributes like P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities and elastic impedances from seismic and well log data. These attributes help to understand lithology and fluid contents in the subsurface. There are several seismic inversion methods available, but their application and results differ considerably, which can lead to confusion. This book explains all popular inversion methods, discusses their mathematical backgrounds, and demonstrates their capacity to extract information from seismic reflection data. The types covered include model-based inversion, colored inversion, sparse spike inversion, band-limited inversion, simultaneous inversion, elastic impedance inversion and geostatistical inversion, which includes single-attribute analysis, multi-attribute analysis, probabilistic neural networks and multi-layer feed-forward neural networks. In addition, the book describes local and global optimization methods and their application to seismic reflection data. Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies.
Seismic Inversion
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Author : Gerard T. Schuster
language : en
Publisher: SEG Books
Release Date : 2017-07-01
Seismic Inversion written by Gerard T. Schuster and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-01 with Science categories.
This book describes the theory and practice of inverting seismic data for the subsurface rock properties of the earth. The primary application is for inverting reflection and/or transmission data from engineering or exploration surveys, but the methods described also can be used for earthquake studies. Seismic Inversion will be of benefit to scientists and advanced students in engineering, earth sciences, and physics. It is desirable that the reader has some familiarity with certain aspects of numerical computation, such as finite-difference solutions to partial differential equations, numerical linear algebra, and the basic physics of wave propagation. For those not familiar with the terminology and methods of seismic exploration, a brief introduction is provided. To truly understand the nuances of seismic inversion, we have to actively practice what we preach (or teach). Therefore, computational labs are provided for most of the chapters, and some field data labs are given as well.
Comparison Of Seismic Inversion Methods On A Single Real Data Set
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Author : Robert G. Keys
language : en
Publisher: SEG Books
Release Date : 1998
Comparison Of Seismic Inversion Methods On A Single Real Data Set written by Robert G. Keys and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Science categories.
Seismic Inversion Deconvolution Classical Methods
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Author : Enders A. Robinson
language : en
Publisher:
Release Date : 1984
Seismic Inversion Deconvolution Classical Methods written by Enders A. Robinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Seismic prospecting categories.
Digital Imaging And Deconvolution
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Author : Enders A. Robinson
language : en
Publisher: SEG Books
Release Date : 2008
Digital Imaging And Deconvolution written by Enders A. Robinson and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Covering ideas and methods while concentrating on fundamentals, this book includes wave motion; digital imaging; digital filtering; visualization aspects of the seismic reflection method; sampling theory; the frequency spectrum; synthetic seismograms; wavelet processing; deconvolution; seismic attributes; phase rotation; and seismic attenuation.
Information Based Inversion And Processing With Applications
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Author : T.J. Ulrych
language : en
Publisher: Elsevier
Release Date : 2005-12-16
Information Based Inversion And Processing With Applications written by T.J. Ulrych and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-16 with Science categories.
Information-Based Inversion and Processing with Applications examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations. Non-conventional approaches to data processing and inversion are presented Important problems in the area of seismic resolution enhancement are discussed Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing
Optimal Seismic Deconvolution
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Author : Jerry M. Mendel
language : en
Publisher: Elsevier
Release Date : 2013-09-03
Optimal Seismic Deconvolution written by Jerry M. Mendel and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-03 with Science categories.
Optimal Seismic Deconvolution: An Estimation-Based Approach presents an approach to the problem of seismic deconvolution. It is meant for two different audiences: practitioners of recursive estimation theory and geophysical signal processors. The book opens with a chapter on elements of minimum-variance estimation that are essential for all later developments. Included is a derivation of the Kaiman filter and discussions of prediction and smoothing. Separate chapters follow on minimum-variance deconvolution; maximum-likelihood and maximum a posteriori estimation methods; the philosophy of maximum-likelihood deconvolution (MLD); and two detection procedures for determining the location parameters in the input sequence product model. Subsequent chapters deal with the problem of estimating the parameters of the source wavelet when everything else is assumed known a priori; estimation of statistical parameters when the source wavelet is known a priori; and a different block component method for simultaneously estimating all wavelet and statistical parameters, detecting input signal occurrence times, and deconvolving a seismic signal. The final chapter shows how to incorporate the simplest of all models—the normal incidence model—into the maximum-likelihood deconvolution procedure.
Deconvolution And Inverse Theory
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Author : V. Dimri
language : en
Publisher: Elsevier Health Sciences
Release Date : 1992-10-08
Deconvolution And Inverse Theory written by V. Dimri and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-08 with Science categories.
This is the first study to present simultaneously both deconvolution and inversion, two powerful tools of data analysis. Featured within this volume are various geophysical convolution models and a treatment of deconvolution for a time-varying signal. The single channel time-varying deconvolution is shown equivalent to the multichannel time-invariant deconvolution, thus a formalism and associated algorithms can handle both. Inverse theory as well as various inversion schemes are presented on the basis of a relationship between a small perturbation to the model and its effects on the observation. The information theory inversion scheme is discussed, and several types of norm of minimization presented. Additionally, concepts and results of inverse theory are applied to design a new deconvolution operator for estimating magnetization and density distribution, and the constraint of the Backus-Gilbert formalism of inverse theory is used to design a new prediction error filter for maximum entropy spectral estimates. Maximum likelihood, another high resolution method is also presented. This volume can be utilised as a graduate-level text for courses in Geophysics. Some chapters will be of use for graduate courses in Applied Mathematics, Applied Statistics, and Oceanography.