Processamento de Dados Geofísicos

Objectives

The students should understand the basic theory on digital signal processing and its application to geophysical data. The student will be able to create processing flows of multi-channel 2D and 3D data using commercial processing software used in the industry of the mineral and energy resources.

Syllabus

Introduction to the seismic method. Definition of signal and noise. Sampling theorem. Fourier Transforms. Discrete Fourier Transforms. 2D Fourier Transforms. Filtering in the frequency domain. Convolution and deconvolution. Basic seismic processing workflow: geometry definition, spherical divergence correction; filtering; sorting; velocity analysis and NMO correction; stack; migration (pre- and post-stack). Introduction to advanced topics on seismic processing.

Prerequisites

Basic concepts of geophysics and scientific programming languages.

Cross Competence Component

Development of teamwork and coomunication skills through the oral presentation of works. Enhance productivity and time management by defining due dates to submit the assignments (10% of continuous evaluation).

Laboratorial Component

Development of a small assignment comprising the processing of a small dataset of multi-channel seismic reflection data.

Programming And Computing Component

Development of small routines for geophysical data processing in scientific programming languages (e.g. Python, Matlab). Use of commercial software for seismic processing (e.g. Echos) and its application to real datasets. (Weight 50%)

Ethical Principles

All members of a group are responsible for the group's work. In any assessment, every students shall honestly disclose any help received and sources used. In an oral assessment, every students shall be able to present and answer questions about the entire assignment and solution.