Seismic Reflection Processing
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Processing of Seismic Reflection Data Using MATLAB
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
Processing Near-surface Seismic-reflection Data
The goal of this primer is to provide a basic near-surface seismic-reflection processing guide for workers who have not had industry- or academic-supported training or guidance but wish to maintain the integrity of seismic imaging as a tool for near-surface exploration. Increasingly, shallow-reflection seismology is being used as a noninvasive tool for determining the physical properties and geometry of the upper 100 meters of the subsurface. This primer focuses on processing two small data sets using standard common-midpoint (CMP) processing and includes significant processing pitfalls encountered in previous work.
Seismic Reflection Processing
Author: S.K. Upadhyay
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
The author coherently presents the physical concepts, mathematical details and methodology for optimizing results of reservoir modeling, under conditions of isotropy and anisotropy. The most common form of anisotropy – the transverse isotropy, is dealt with in detail. Besides, practical aspects in reservoir engineering – such as interval isotropic or anisotropic properties of layered media; identifying lithology, pore-fluid types and saturation; and determining crack/fracture-orientations and density - form the core of discussions. This book incorporates significant new developments in isotropic and anisotropic reflection processing, while organizing them to improve the interpretation of seismic reflection data and optimizing the modeling of hydrocarbon reservoirs. The text contains exercises and problems, and solutions are provided for the exercises. This book is written primarily for graduate/postgraduate students and research workers in geophysics.