Topics: Seismic Processing Techniques

Description This course presents a simple and informal discussion of the fundamental concepts which underlie the quantitative part of geophysical analysis and interpretation. These general concepts are applicable for an analytical approach to any phenomena that can be measured and recorded and includes examples and exercises created and analysed using Microsoft Excel®. Duration 16 hours Intended Audience The course is generally for anyone with an interest in learning or refreshing their understanding of the fundamentals

This course covers practical aspects of signal theory and inverse problems with application to seismic data processing. In particular, the course stresses regularization methods for inverse problems that arise in the inversion of seismic data, noise elimination and reconstruction of seismic surveys. The course is intended for geophysicists working in data processing, R&D, and for people with interest in understanding current and emerging technologies for seismic data processing. Please contact the instructor for more information.

This course reviews mathematics from high-school and university, and then expands their concepts with practical examples to provide the fundamentals that are required for developing practical applications and algorithms in seismic processing. The content of the course is designed to include practical examples from seismic processing to reinforce the basic concepts, and will be repeated, where appropriate, to maintain a common thread throughout the development of the mathematical material. Duration Two days Intended Audience Entry

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 seismic data processing. 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

This course will provide the basis for Ambient Seismic Noise Surface Wave Tomography. It will include seismic noise virtual Green’s functions reconstruction, surface wave dispersion curves measurements and inversion for a 3D S-wave velocity model. Duration 2 days Intended Audience Intermediate Level Prerequisites (Knowledge/Experience/Education Required) Seismic methods, Seismology Course Description The course will be divided in four sections. In a first part, the course will give an overview of the theory of seismic surface waves