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Author: Enders A. Robinson Publisher: SEG Books ISBN: 1560801484 Category : Computers Languages : en Pages : 449
Book Description
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.
Author: Enders A. Robinson Publisher: SEG Books ISBN: 1560801484 Category : Computers Languages : en Pages : 449
Book Description
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.
Author: Wail A. Mousa Publisher: Cambridge University Press ISBN: 1107039657 Category : Business & Economics Languages : en Pages : 341
Book Description
Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.
Author: Özdoğan Yilmaz Publisher: SEG Books ISBN: 1560800941 Category : Science Languages : en Pages : 2065
Book Description
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: Derman Dondurur Publisher: Elsevier ISBN: 0128114916 Category : Science Languages : en Pages : 610
Book Description
Acquisition and Processing of Marine Seismic Data demonstrates the main principles, required equipment, and suitable selection of parameters in 2D/3D marine seismic data acquisition, as well as theoretical principles of 2D marine seismic data processing and their practical implications. Featuring detailed datasets and examples, the book helps to relate theoretical background to real seismic data. This reference also contains important QC analysis methods and results both for data acquisition and marine seismic data processing. Acquisition and Processing of Marine Seismic Data is a valuable tool for researchers and students in geophysics, marine seismics, and seismic data, as well as for oil and gas exploration. - Contains simple step-by-step diagrams of the methodology used in the processing of seismic data to demonstrate the theory behind the applications - Combines theory and practice, including extensive noise, QC, and velocity analyses, as well as examples for beginners in the seismic operations market - Includes simple illustrations to provide to the audience an easy understanding of the theoretical background - Contains enhanced field data examples and applications
Author: Enders A. Robinson Publisher: SEG Books ISBN: 1560801042 Category : Digital filters (Mathematics). Languages : en Pages : 481
Book Description
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.
Author: Wail Mousa Publisher: Springer Nature ISBN: 3031025342 Category : Technology & Engineering Languages : en Pages : 81
Book Description
This short book is for students, professors and professionals interested in signal processing of seismic data using MATLABTM. The step-by-step demo of the full reflection seismic data processing workflow using a complete real seismic data set places itself as a very useful feature of the book. This is especially true when students are performing their projects, and when professors and researchers are testing their new developed algorithms in MATLABTM for processing seismic data. The book provides the basic seismic and signal processing theory required for each chapter and shows how to process the data from raw field records to a final image of the subsurface all using MATLABTM. The MATLABTM codes and seismic data can be downloaded here. Table of Contents: Seismic Data Processing: A Quick Overview / Examination of A Real Seismic Data Set / Quality Control of Real Seismic Data / Seismic Noise Attenuation / Seismic Deconvolution / Carrying the Processing Forward / Static Corrections / Seismic Migration / Concluding Remarks
Author: Gary F. Margrave Publisher: Cambridge University Press ISBN: 1107170141 Category : Business & Economics Languages : en Pages : 457
Book Description
Technical guide to the theory and practice of seismic data processing with MATLAB algorithms for advanced students, researchers and professionals.
Author: L. P. Geldart Publisher: SEG Books ISBN: 1560801158 Category : Science Languages : en Pages : 529
Book Description
Focusing on the basic theory required to solve practical problems, this book provides 212 problems, and solutions, which cover a wide range of issues, including least-squares methods, choosing velocities for various situations, z-transforms, determining 2D and 3D field geometries, and solving processing and interpretation problems.
Author: Jerry M. Mendel Publisher: Elsevier ISBN: 148325819X Category : Science Languages : en Pages : 269
Book Description
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.
Author: Enders A. Robinson
Author: Enders A. Robinson
Author: Wail A. Mousa
Author: Özdoğan Yilmaz
Author: Derman Dondurur
Author: Özdoğan Yilmaz
Author: Enders A. Robinson
Author: Wail Mousa
Author: Gary F. Margrave
Author: L. P. Geldart
Author: Jerry M. Mendel