Processing of Seismic Reflection Data Using MATLAB

Processing of Seismic Reflection Data Using MATLAB

Author: Wail Mousa

Publisher: Springer Nature

ISBN: 9783031025341

Category: Technology & Engineering

Page: 81

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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
Seismic Data Interpretation Using Digital Image Processing
Language: en
Pages: 178
Authors: Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Wail A. Mousa
Categories: Technology & Engineering
Type: BOOK - Published: 2017-08-14 - Publisher: John Wiley & Sons

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
Processing of Seismic Reflection Data Using MATLAB
Language: en
Pages: 81
Authors: Wail Mousa, Abdullatif Al-Shuhail
Categories: Technology & Engineering
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

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
Advanced Digital Signal Processing of Seismic Data
Language: en
Pages: 368
Authors: Wail A. Mousa
Categories: Business & Economics
Type: BOOK - Published: 2019-07-31 - Publisher: Cambridge University Press

Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.
Anywhere-Anytime Signals and Systems Laboratory
Language: en
Pages: 272
Authors: Nasser Kehtarnavaz, Fatemeh Saki, Adrian Duran
Categories: Technology & Engineering
Type: BOOK - Published: 2018-11-06 - Publisher: Morgan & Claypool Publishers

A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory component of such courses involves the utilization of MATLAB to implement signals and systems concepts. This lecture series book presents a newly developed laboratory paradigm where MATLAB codes are made to
Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering
Language: en
Pages: 87
Authors: Marcelo G., Marcelo G.S.
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

In these notes, we introduce particle filtering as a recursive importance sampling method that approximates the minimum-mean-square-error (MMSE) estimate of a sequence of hidden state vectors in scenarios where the joint probability distribution of the states and the observations is non-Gaussian and, therefore, closed-form analytical expressions for the MMSE estimate