WHO SHOULD ATTEND

The course is targeted primarily to Exploration and development Geologists, Geophysicists, Co-ordinators, and Supervisors.

COURSE OBJECTIVES

This course is designed at an introductory level to cover in some details the theoretical background and the practical applications of digital signal analysis in geophysics. The course describes the basic definitions of digital filters, their coefficients, and their manipulations in time and in frequency domains. The sampling theory and the wavelet concept are introduced. The design and the applications of least-squares filters are covered. Applications of different types of deconvolution filters such as spiking and predictive are discussed along with examples and exercises.

The intended audiences for this course are seismic data analysts, field and office processors and seismic interpreters who are seeking to understand some basic and important concepts of digital signal analysis in seismic data processing.

COURSE OUTLINE

Introduction
     Overview of the reflection seismic method

Causal digital:
     Digital filtering of signals; filter coefficients, Z-transform, MA and FIR filters

Frequency spectra.
     The Fourier transform; Euler's equation; amplitude and phase characteristics of digital filters; minimum-phase spectrum of a digital filter; dual sensor system

Sampling
     Sampling and Nyquist frequency; sampling geophysical data

Frequency analysis
     Frequency spectrum; magnitude and phase spectra; workshop exercises

Minimum-delay and feedback
     Time series, wavelets, and linear systems; minimum, mixed, and maximum delay; feedback stability and minimum delay

Least squares filtering
     Basic concepts, mathematical details, and examples; multiple reflections, dual sensor system

Predictive Deconvolution
     Weiner prediction and filtering; the prediction error filter; The convolutional model and spiking deconvolution; gap deconvolution, the tail shaping filter and the head shaping filter; examples of predictive deconvolution

Applications of predictive decon
     The general convolutional model, signature deconvolution, predictive deconvolution, prewhitening, prediction distance, convolutional model in the frequency domain and time variant spectral whitening; workshop exercises

Inverse Q-filtering

Spherical spreading and attenuation; absorption

LOCATION

First day will be held at the Sofitel Hotel, in Cairo. The participants will fly the next day to Hurghada for The course to be continued there.

COURSE FEES

FIVE DAYS U.S.$ 1700
The cost is inclusive of course manual, guidebook, and accommodation in Hurghada.

INSTRUCTOR PROFILE

Osman M. Hassan has a M.S. degree in geophysics from the University of Tulsa, Oklahoma and a Ph. D. from ASU in Cairo, Egypt. Osman has been involved in geophysical education, training, research and production for the past fifteen years.

He worked for 4-D International, PGS Tensor; Geographix, and Paradigm Geophysical.

He is currently at CGGVeritas in Houston, Texas. He teaches courses in geophysical signal analysis deconvolution, and imaging. He has edited geophysics articles and books for the SEG and PennWell publishing company.

Osman is an active member of the SEG, AAPG and GSH.

DIGITAL SIGNAL ANALYSIS IN SEISMIC DATA PROCESSING

COURSE AND WORKSHOP